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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Drug discovery from plant sources: An integrated approach</title><author><name sortKey="Katiyar, Chandrakant" sort="Katiyar, Chandrakant" uniqKey="Katiyar C" first="Chandrakant" last="Katiyar">Chandrakant Katiyar</name><affiliation><nlm:aff id="aff1">Healthcare Research, Dabur Research and Development Centre, Ghaziabad, Uttar Pradesh, India</nlm:aff></affiliation></author><author><name sortKey="Gupta, Arun" sort="Gupta, Arun" uniqKey="Gupta A" first="Arun" last="Gupta">Arun Gupta</name><affiliation><nlm:aff id="aff2">Medical Services and Clinical Research, Dabur Research and Development Centre, Ghaziabad, Uttar Pradesh, India</nlm:aff></affiliation></author><author><name sortKey="Kanjilal, Satyajyoti" sort="Kanjilal, Satyajyoti" uniqKey="Kanjilal S" first="Satyajyoti" last="Kanjilal">Satyajyoti Kanjilal</name><affiliation><nlm:aff id="aff2">Medical Services and Clinical Research, Dabur Research and Development Centre, Ghaziabad, Uttar Pradesh, India</nlm:aff></affiliation></author><author><name sortKey="Katiyar, Shefali" sort="Katiyar, Shefali" uniqKey="Katiyar S" first="Shefali" last="Katiyar">Shefali Katiyar</name><affiliation><nlm:aff id="aff3">Faculty of Pharmacy, Jamia Hamdard, New Delhi, India</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">23049178</idno><idno type="pmc">3456845</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3456845</idno><idno type="RBID">PMC:3456845</idno><idno type="doi">10.4103/0974-8520.100295</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">000176</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000176</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Drug discovery from plant sources: An integrated approach</title><author><name sortKey="Katiyar, Chandrakant" sort="Katiyar, Chandrakant" uniqKey="Katiyar C" first="Chandrakant" last="Katiyar">Chandrakant Katiyar</name><affiliation><nlm:aff id="aff1">Healthcare Research, Dabur Research and Development Centre, Ghaziabad, Uttar Pradesh, India</nlm:aff></affiliation></author><author><name sortKey="Gupta, Arun" sort="Gupta, Arun" uniqKey="Gupta A" first="Arun" last="Gupta">Arun Gupta</name><affiliation><nlm:aff id="aff2">Medical Services and Clinical Research, Dabur Research and Development Centre, Ghaziabad, Uttar Pradesh, India</nlm:aff></affiliation></author><author><name sortKey="Kanjilal, Satyajyoti" sort="Kanjilal, Satyajyoti" uniqKey="Kanjilal S" first="Satyajyoti" last="Kanjilal">Satyajyoti Kanjilal</name><affiliation><nlm:aff id="aff2">Medical Services and Clinical Research, Dabur Research and Development Centre, Ghaziabad, Uttar Pradesh, India</nlm:aff></affiliation></author><author><name sortKey="Katiyar, Shefali" sort="Katiyar, Shefali" uniqKey="Katiyar S" first="Shefali" last="Katiyar">Shefali Katiyar</name><affiliation><nlm:aff id="aff3">Faculty of Pharmacy, Jamia Hamdard, New Delhi, India</nlm:aff></affiliation></author></analytic><series><title level="j">Ayu</title><idno type="ISSN">0974-8520</idno><idno type="eISSN">0976-9382</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>New drug discovery is facing serious challenges due to reduction in number of new drug approvals coupled with exorbitant rising cost. Advent of combinatorial chemistry provided new hope of higher success rates of new chemical entities (NCEs); however, even this scientific development has failed to improve the success rate in new drug discovery. This scenario has prompted us to come out with a novel approach of integrated drug discovery, where Ayurvedic wisdom can synergize with drug discovery from plant sources. Initial steps in new drug discovery involve identification of NCEs, which can be either sourced through chemical synthesis or can be isolated from natural products through biological activity guided fractionation. The sources of many of the new drugs and active ingredients of medicines are derived from natural products. The starting point for plant-based new drug discovery should be identification of the right candidate plants by applying Ayurvedic wisdom, traditional documented use, tribal non-documented use, and exhaustive literature search. Frequency analysis of the ingredients of the ancient documented formulations and analysis of their Ayurvedic attributes may provide an in-depth idea of the predominance of particular Ayurvedic characteristics based on which appropriate candidate plants may be selected for bioactivity-based fractionation. The integration of Ayurvedic wisdom with drug discovery also brings the need for a paradigm shift in the extraction process from sequential to parallel extraction. Bioassay-guided fractionation of the identified plant may lead to standardized extract or isolated bioactive druggable compound as the new drug. This integrated approach would lead to saving of cost and time, coupled with enhanced success rate in drug discovery.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Harvey, Al" uniqKey="Harvey A">AL Harvey</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mahidol, C" uniqKey="Mahidol C">C Mahidol</name></author><author><name sortKey="Ruchirawat, S" uniqKey="Ruchirawat S">S Ruchirawat</name></author><author><name sortKey="Prawat, H" uniqKey="Prawat H">H Prawat</name></author><author><name sortKey="Pisutjaroenpong, S" uniqKey="Pisutjaroenpong S">S Pisutjaroenpong</name></author><author><name sortKey="Engprasert, S" uniqKey="Engprasert S">S Engprasert</name></author><author><name sortKey="Chumsri, P" uniqKey="Chumsri P">P Chumsri</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Koehn, Fe" uniqKey="Koehn F">FE Koehn</name></author><author><name sortKey="Carter, Gt" uniqKey="Carter G">GT Carter</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ehrman, Tm" uniqKey="Ehrman T">TM Ehrman</name></author><author><name sortKey="Barlow, Dj" uniqKey="Barlow D">DJ Barlow</name></author><author><name sortKey="Hylands, Pj" uniqKey="Hylands P">PJ Hylands</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lipinski, Ca" uniqKey="Lipinski C">CA Lipinski</name></author><author><name sortKey="Lombardo, F" uniqKey="Lombardo F">F Lombardo</name></author><author><name sortKey="Dominy, Bw" uniqKey="Dominy B">BW Dominy</name></author><author><name sortKey="Feeney, Pj" uniqKey="Feeney P">PJ Feeney</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Fabricant, Ds" uniqKey="Fabricant D">DS Fabricant</name></author><author><name sortKey="Farnsworth, Nr" uniqKey="Farnsworth N">NR Farnsworth</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ganeshan, A" uniqKey="Ganeshan A">A Ganeshan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Misra, Bhava" uniqKey="Misra B">Bhava Misra</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Smit, Hf" uniqKey="Smit H">HF Smit</name></author><author><name sortKey="Woerdenbag, Hj" uniqKey="Woerdenbag H">HJ Woerdenbag</name></author><author><name sortKey="Singh, Rh" uniqKey="Singh R">RH Singh</name></author><author><name sortKey="Meulenbeld, Gj" uniqKey="Meulenbeld G">GJ Meulenbeld</name></author><author><name sortKey="Labadie, Rp" uniqKey="Labadie R">RP Labadie</name></author><author><name sortKey="Zwaving, Jh" uniqKey="Zwaving J">JH Zwaving</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Patel, Pn" uniqKey="Patel P">PN Patel</name></author><author><name sortKey="Suthar, M" uniqKey="Suthar M">M Suthar</name></author><author><name sortKey="Shah, Tg" uniqKey="Shah T">TG Shah</name></author><author><name sortKey="Patel, Lj" uniqKey="Patel L">LJ Patel</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bose, Ck" uniqKey="Bose C">CK Bose</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Choedon, T" uniqKey="Choedon T">T Choedon</name></author><author><name sortKey="Mathan, G" uniqKey="Mathan G">G Mathan</name></author><author><name sortKey="Arya, S" uniqKey="Arya S">S Arya</name></author><author><name sortKey="Kumar, Vl" uniqKey="Kumar V">VL Kumar</name></author><author><name sortKey="Kumar, V" uniqKey="Kumar V">V Kumar</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Sharma, V" uniqKey="Sharma V">V Sharma</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kavitha, K" uniqKey="Kavitha K">K Kavitha</name></author><author><name sortKey="Manoharan, S" uniqKey="Manoharan S">S Manoharan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Patwardhan, B" uniqKey="Patwardhan B">B Patwardhan</name></author><author><name sortKey="Vaidya, Ad" uniqKey="Vaidya A">AD Vaidya</name></author><author><name sortKey="Chorghade, M" uniqKey="Chorghade M">M Chorghade</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Ayu</journal-id><journal-id journal-id-type="iso-abbrev">Ayu</journal-id><journal-id journal-id-type="publisher-id">Ayu</journal-id><journal-title-group><journal-title>Ayu</journal-title></journal-title-group><issn pub-type="ppub">0974-8520</issn><issn pub-type="epub">0976-9382</issn><publisher><publisher-name>Medknow Publications & Media Pvt Ltd</publisher-name><publisher-loc>India</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">23049178</article-id><article-id pub-id-type="pmc">3456845</article-id><article-id pub-id-type="publisher-id">Ayu-33-10</article-id><article-id pub-id-type="doi">10.4103/0974-8520.100295</article-id><article-categories><subj-group subj-group-type="heading"><subject>Innovative Article</subject></subj-group></article-categories><title-group><article-title>Drug discovery from plant sources: An integrated approach</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Katiyar</surname><given-names>Chandrakant</given-names></name><xref ref-type="aff" rid="aff1"></xref><xref ref-type="corresp" rid="cor1"></xref></contrib><contrib contrib-type="author"><name><surname>Gupta</surname><given-names>Arun</given-names></name><xref ref-type="aff" rid="aff2">1</xref></contrib><contrib contrib-type="author"><name><surname>Kanjilal</surname><given-names>Satyajyoti</given-names></name><xref ref-type="aff" rid="aff2">1</xref></contrib><contrib contrib-type="author"><name><surname>Katiyar</surname><given-names>Shefali</given-names></name><xref ref-type="aff" rid="aff3">2</xref></contrib></contrib-group><aff id="aff1">Healthcare Research, Dabur Research and Development Centre, Ghaziabad, Uttar Pradesh, India</aff><aff id="aff2"><label>1</label>Medical Services and Clinical Research, Dabur Research and Development Centre, Ghaziabad, Uttar Pradesh, India</aff><aff id="aff3"><label>2</label>Faculty of Pharmacy, Jamia Hamdard, New Delhi, India</aff><author-notes><corresp id="cor1"><bold>Address for correspondence:</bold> Dr. Chandrakant Katiyar, Healthcare Research, Dabur Research and Development Centre, 22, Site IV, Sahibabad, Ghaziabad, Uttar Pradesh – 201010, India. E-mail: <email xlink:href="chandra.katiyar@dabur.com">chandra.katiyar@dabur.com</email></corresp></author-notes><pub-date pub-type="ppub"><season>Jan-Mar</season><year>2012</year></pub-date><volume>33</volume><issue>1</issue><fpage>10</fpage><lpage>19</lpage><permissions><copyright-statement>Copyright: © AYU (An International Quarterly Journal of Research in Ayurveda)</copyright-statement><copyright-year>2012</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-sa/3.0"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><p>New drug discovery is facing serious challenges due to reduction in number of new drug approvals coupled with exorbitant rising cost. Advent of combinatorial chemistry provided new hope of higher success rates of new chemical entities (NCEs); however, even this scientific development has failed to improve the success rate in new drug discovery. This scenario has prompted us to come out with a novel approach of integrated drug discovery, where Ayurvedic wisdom can synergize with drug discovery from plant sources. Initial steps in new drug discovery involve identification of NCEs, which can be either sourced through chemical synthesis or can be isolated from natural products through biological activity guided fractionation. The sources of many of the new drugs and active ingredients of medicines are derived from natural products. The starting point for plant-based new drug discovery should be identification of the right candidate plants by applying Ayurvedic wisdom, traditional documented use, tribal non-documented use, and exhaustive literature search. Frequency analysis of the ingredients of the ancient documented formulations and analysis of their Ayurvedic attributes may provide an in-depth idea of the predominance of particular Ayurvedic characteristics based on which appropriate candidate plants may be selected for bioactivity-based fractionation. The integration of Ayurvedic wisdom with drug discovery also brings the need for a paradigm shift in the extraction process from sequential to parallel extraction. Bioassay-guided fractionation of the identified plant may lead to standardized extract or isolated bioactive druggable compound as the new drug. This integrated approach would lead to saving of cost and time, coupled with enhanced success rate in drug discovery.</p></abstract><kwd-group><kwd>Ayurveda</kwd><kwd>biological activity</kwd><kwd>drug discovery</kwd><kwd>extraction</kwd><kwd>fractionation</kwd><kwd>plant</kwd></kwd-group></article-meta></front><body><sec id="sec1-1"><title>Introduction</title><p>Development of new drug is a complex, time-consuming, and expensive process. The time taken from discovery of a new drug to its reaching the clinic is approximately 12 years, involving more than 1 billion US$ of investments in today's context. Essentially, the new drug discovery involves the identification of new chemical entities (NCEs), having the required characteristic of druggability and medicinal chemistry. These NCEs can be sourced either through chemical synthesis or through isolation from natural products. Initial success stories in new drug discovery came from medicinal chemistry inventions, which led to the need of development of higher number of chemical libraries through combinatorial chemistry. This approach, however, was proven to be less effective in terms of overall success rate. The second source of NCEs for potential use as drug molecules has been the natural products. Before the advent of high throughput screening and the post genomic era, more than 80% of drug substances were purely natural products or were inspired by the molecules derived from natural sources (including semi-synthetic analogs). An analysis into the sources of new drugs from 1981 to 2007 reveals that almost half of the drugs approved since 1994 were based on natural products. During the years 2005–2007, 13 natural product related drugs were approved.[<xref ref-type="bibr" rid="ref1">1</xref>] There are various examples of development of new drugs from the plant sources. Morphine was isolated from opium produced from cut seed pods of the poppy plant (<italic>Papaver somniferum</italic>) approximately 200 years ago. Pharmaceutical research expanded after the second world war to include massive screening of microorganisms for new antibiotics, inspired by the discovery of penicillin. Few drugs developed from natural sources have undoubtedly revolutionized medicine, like antibiotics (e.g. penicillin, tetracycline, erythromycin), antiparasitics (e.g. avermectin), antimalarials (e.g. quinine, artemisinin), lipid control agents (e.g. lovastatin and analogs), immunosuppressants for organ transplants (e.g. cyclosporine, rapamycins), and anticancer drugs (e.g. paclitaxel, irinotecan).[<xref ref-type="bibr" rid="ref1">1</xref>]</p><p>Clinical trials are ongoing on more than 100 natural product derived drugs and at least 100 molecules/compounds are in preclinical development stage.[<xref ref-type="bibr" rid="ref1">1</xref>] Most of these molecules in the developmental pipeline are derived from leads from plants and microbial sources. Cancer and infections are the two predominant therapeutic areas for which the drug discovery program is based on natural products, but many other therapeutic areas also get covered, such as neuro-pharmacological, cardiovascular, gastrointestinal, inflammation, metabolic, etc.[<xref ref-type="bibr" rid="ref1">1</xref>] Among the different projects in various therapeutic areas, around 108 projects are based on plants. A further division of these projects indicates that 46 of them are in preclinical stage, 14 in phase I, 41 in phase II, 5 in phase III, and 2 are in pre-registration phase.[<xref ref-type="bibr" rid="ref1">1</xref>]</p><p>In general, there are six classes of sources for NCEs. The four classes are botanical sources, fungi, bacteria, and marine sources. In addition to these four classes, modern pharmaceutical chemistry added two categories of man-made substances, i.e. synthetic chemistry and combinatorial chemistry. Of these natural sources, botanical sources are of specific importance in the context of this review. The botanical sources are known to provide the following classes of NCEs for drug discovery processes.</p><p><list list-type="bullet"><list-item><p>Bioactive compounds for direct use as drug, e.g. digoxin.</p></list-item><list-item><p>Bioactive compounds with structures which themselves may act as lead compounds for more potent compounds, e.g. paclitaxel from <italic>Taxus</italic> species.</p></list-item><list-item><p>The novel chemophore which may be converted into druggable compounds with/without chemical analoging.</p></list-item><list-item><p>Pure phytochemicals for use as marker compounds for standardization of crude plant material or extract.</p></list-item><list-item><p>Pure phytochemicals which can be used as pharmacological tools.</p></list-item><list-item><p>Herbal extracts as botanical drugs, e.g. green tea extract.</p></list-item></list></p></sec><sec id="sec1-2"><title>Drug Discovery from Natural Resources: Advantages and Disadvantages</title><p>Usage of botanical sources as starting point in the drug development program is associated with few specific advantages:</p><p><list list-type="bullet"><list-item><p>Mostly, the selection of a candidate species for investigations can be done on the basis of long-term use by humans (ethnomedicine). This approach is based on an assumption that the active com-pounds isolated from such plants are likely to be safer than those derived from plant species with no history of human use. At certain time point afterward, one may attempt upon synthesis of active molecule and reduce pressure on the resource. Drug development from <italic>Rauwolfia serpentina</italic>, <italic>Digitalis purpurea</italic>, etc. in the past fall under this category of approach.</p></list-item><list-item><p>Sometimes, such approaches lead to development of novel molecules derived from the source due to inherent limitations of the original molecule. For instance, podophyllin derived from <italic>Podophyllum hexandrum</italic> was faced with dose-limiting toxicities. Such limitations could be overcome to a great extent by semi-synthesis of etoposide, which continues to be used in cancer therapy today. Similar was the case with camptothecin (originally isolated from <italic>Camptotheca sp</italic>. and subsequently from <italic>Mappia sp</italic>.), which led to development of novel anticancer molecules like topotecan and irinotecan.</p></list-item><list-item><p>Natural resources as starting point has a bilateral promise of delivering the original isolate as a candidate or a semi-synthetic molecule development to overcome any inherent limitations of original molecule.</p></list-item></list></p><p>On the other hand, drug development from natural resources is also associated with certain disadvantages:</p><p><list list-type="bullet"><list-item><p>More often than not, drug discovery and eventual commercialization would pressurize the resource substantially and might lead to undesirable environmental concerns. While synthesis of active molecule could be an option, not every molecule is amenable for complete synthesis. Hence, certain degree of dependence on the lead resource would continue. For instance, anticancer molecules like etoposide, paclitaxel, docetaxel, topotecan, and irinotecan continue to depend upon highly vulnerable plant resources for obtaining the starting material since a complete synthesis is not possible. On the other hand, it is expected that some 25,000 plant species would cease to exist by the end of this century.[<xref ref-type="bibr" rid="ref2">2</xref>]</p></list-item><list-item><p>Over a period of time, the intellectual property rights protection related to the natural products is going haywire. By and large, the leads are based upon some linkage to traditional usage. With larger number of countries becoming the parties to the Convention on Biological Diversity (CBD), the process of accessing the basic lead resource, benefit sharing during the commercial phase, etc. became highly complex in many countries. These processes tend to impede the pace of discovery process at various phases irrespective of the concerns leading to such processes.</p></list-item></list></p></sec><sec id="sec1-3"><title>Druggability of Isolated Phytochemical Compounds</title><p>Challenges in the new drug development are mainly encountered from two categories: the prevailing paradigm for drug discovery in large pharmaceutical industries and technical limitations in identifying new compounds with desirable activity. Koehn and Carter[<xref ref-type="bibr" rid="ref3">3</xref>] have enumerated the following unique features of the compounds isolated from natural products:</p><p><list list-type="bullet"><list-item><p>Greater number of chiral centers</p></list-item><list-item><p>Increased steric complexity</p></list-item><list-item><p>Higher number of oxygen atoms</p></list-item><list-item><p>Lower ratio of aromatic ring atoms to total heavy atoms</p></list-item><list-item><p>Higher number of solvated hydrogen bond donors and acceptors</p></list-item><list-item><p>Grater molecular rigidity</p></list-item><list-item><p>Broader distribution of molecular properties such as molecular mass, octanol water partition coefficient, and diversity of ring systems</p></list-item></list></p><p>These unique features of chemical entities of natural origin pose a string of challenges for medicinal chemists as they start working upon development of analogs, either to improve the absorption or to reduce the toxicity and improve upon efficacy which is often achieved by addition or deletion of selected functional groups. As per a review by Ehrman <italic>et al</italic>.,[<xref ref-type="bibr" rid="ref4">4</xref>] different bioactive plant compounds were isolated in China from 1911 to 2000 like alkaloid, steroid, triterpene, limonoid, diterpene, sesquiterpene, monoterpene, tanin, isoflavonoid, flavonoid, polycyclic aromatic, lignan, coumarin, simple phenoloic, aliphatic, etc. Alkaloid may be distributed as 20%, flavonoids as 15%, triterpenes and simple phenolics around 10%, and remaining others below that, with limonoid being the least.</p><p>It can be safely presumed that large number of natural products, despite being biologically active and having favorable ADMET profile (absorption, distribution, metabolism, excretion, and toxicity), do not satisfy the criteria “drug likeness.” The challenge is of building a physio-chemical tuned natural products library in line with the lead generation to promote natural products to their full potential. Lipinski[<xref ref-type="bibr" rid="ref5">5</xref>] propagated simple set of calculated property called “rule of five” basis the drug candidates reaching Phase II clinical trials. This rule is an algorithm consisting of four rules in which many of the cutoff numbers are five or multiples of five, thus originating the rule's name. To be drug-like, a candidate should have:</p><p><list list-type="bullet"><list-item><p>less than five hydrogen bond donors;</p></list-item><list-item><p>less than 10 hydrogen bond acceptors;</p></list-item><list-item><p>molecular weight of less than 500 Da; and</p></list-item><list-item><p>partition coefficient log <italic>P</italic> of less than 5.</p></list-item></list></p><p>The aim of the “rule of five” is to highlight possible bioavailability problems if two or more properties are violated. Had Lipinski's rule been applied, paclitaxel would never have become a drug. Since it does not comply with “rule of five,” a biggest challenge is to find alternative druggability criteria for the compounds of natural origin.</p><p>Therefore, the biggest challenge is to find alternative druggability criteria for the compounds of natural origin.</p></sec><sec id="sec1-4"><title>Selection of Candidate Plant Species for Screening</title><p>To available estimates, the total number of higher plants species (comprising angiosperms and gymnosperms) is approximately 250,000 species. Of them, only 6% have been reportedly screened for biological activity and about 15% have been screened for phytochemical activity.[<xref ref-type="bibr" rid="ref6">6</xref>] Initial listing of the candidate species for screening of biological activity is a major task of specific importance in itself. Fabricant and Farnsworth[<xref ref-type="bibr" rid="ref6">6</xref>] have enumerated the following approaches being used so far by researchers for this purpose.</p><sec id="sec2-1"><title>Random approach</title><p>Two approaches have been followed for screening of the plants selected randomly for the purpose of new drug discovery.</p><p><list list-type="simple"><list-item><label>a)</label><p><italic>Screening for selected class of compounds like alkaloids, flavonoids</italic>, etc.: While this route is simple to perform, however, it is flawed in the sense that it provides no idea of the biological efficacy. However, chances of getting novel structures cannot be denied following this approach.</p></list-item><list-item><label>b)</label><p><italic>Screening of randomly selected plants for selected bioassays</italic>: Central Drug Research Institute, a premier R and D organization of Council of Scientific and Industrial Research of India, followed this approach about three decades ago. They screened almost 2000 plants for biological efficacy. However, the screening did not yield any new drug. National Cancer Institute (NCI) of National Institute of Health, USA, studied about 35,000 plant species for anticancer activity, spending over two decades from 1960 to 1980. It resulted in proving two success stories, which were those of paclitaxel and camptothecin. This route, therefore, has been applied for both focused screening as well as general screening, showing some success in focused screening. If target-based bioassays are used, e.g. screening against PTP1B, chances of success would probably be more. This approach, however, needs a huge library of extracts, which very few organizations in the world are having.</p></list-item></list></p></sec><sec id="sec2-2"><title>Ethnopharmacology approach</title><p>The approach of ethnopharmacology essentially depends on empirical experiences related to the use of botanical drugs for the discov-ery of biologically active NCEs. This process involves the observation, description, and experimental investigation of indigenous drugs, and is based on botany, chemistry, biochem-istry, pharmacology, and many other disciplines like anthropology, archaeology, history, and linguistics.[<xref ref-type="bibr" rid="ref7">7</xref>] This approach based on ethnomedicinal usage history has seen some success, e.g. <italic>Andrographis paniculata</italic> was used for dysentery in ethnomedicine and the compounds responsible for the activity were isolated as andrographolide. Morphine from <italic>Papaver somniferum</italic>, Berberine from <italic>Berberis aristata</italic>, and <italic>Picroside</italic> from Picrorrhiza kurroa are some examples of this approach. Some of the plants which are not selected on the basis of ethnomedical use also had some success stories, like L-Dopa from <italic>Mucuna prurita</italic> and paclitaxel from <italic>Taxus brevifolia</italic>.</p></sec><sec id="sec2-3"><title>Traditional system of medicine approach</title><p>Countries like India and China have a rich heritage of well-documented traditional system of medicine in vogue. Though these codified systems of medicine use largely botanical sources as medicines, however, these stand apart from ethnomedicine specifically on three accounts:</p><p><list list-type="bullet"><list-item><p>The ethnomedicinal practice is based on empirical experiences. On the other hand, these codified systems built up the empirical practices on strong conceptual foundations of human physiology as well as of pharmacology (though the tools of their investigations in those times were far different from the existing ones).</p></list-item><list-item><p>The pharmaceutical processes have been more advanced as against the use of crudely extracted juices and decoctions in ethnomedicinal practices. Due to this phenomenon, the concept of standardization was known to the system.</p></list-item><list-item><p>They are well documented and widely institutionalized. On the other hand, the ethnomedicinal practices are localized and may be largely controlled by few families in each of the community.</p></list-item></list></p><p>However, in terms of historicity, ethnomedicinal practices might be older than codified systems of medicine.</p><p>Discovery of artemisinin from <italic>Artemesia alba</italic> for malaria, guggulsterones from <italic>Commiphora mukul</italic> (for hyperlipidemia), boswellic acids from <italic>Boswellia serrata</italic> (anti-inflammatory), and bacosides from <italic>Bacopa monnieri</italic> (nootropic and memory enhancement) was based on the leads from these codified systems of medicine prevailing in China and India. However, it can be stated that such approach for selecting candidates in drug discovery programs has not been adopted much so far. Nonetheless, the approach has a distinct promise in terms of hit rates. But the distinct example for this approach has been the discovery of reserpine from <italic>Rauwolfia serpentine</italic>, which was based on the practices of Unani medicine.</p></sec><sec id="sec2-4"><title>Zoo-pharmacognosy approach</title><p>Observation of the behavior of the animals with a view to identify the candidate plants for new drug discovery is not a distant phenomenon. Observation of straight tails linked to cattle grazing habits in certain regions of South America led to identification of a plant <italic>Cestrum diurnum</italic> and three other plant members of family Solanaceae, which probably are the only known plant sources of the derivatives of Vitamin D<sub>3</sub>. This approach, however, needs close observation and monitoring of the behavior of animals.</p></sec></sec><sec id="sec1-5"><title>Application of Ayurvedic Wisdom in Selection of Plant for its Therapeutic (e.g. Anticancer) Activity</title><p>The key objective of this review is to emphasize on the usage of traditional wisdom in selection of candidate species as against random screening or on the basis of ethnomedicinal records. The author has reviewed few published studies and classical Ayurvedic literature for anticancer drug plants as the major source for drug discovery. Basis Ayurvedic wisdom, it is possible to apply the traditional knowledge on various herbs to identify the better leads for research and development to find out good anticancer drugs. Three disease conditions described in classical Ayurvedic texts have possible correlations to the description of cancer in modern medicine, viz. <italic>Arbuda, Granthi</italic>, and <italic>Gulma</italic>. These classical descriptions in terms of etiopathogenesis, symptoms, and prognosis related to these conditions go close to the cancerous conditions in modern context. Hence, it would be logical to assume that the botanical medicines recommended for use in these three conditions would have greater potential of hit rates in drug discovery program.</p><p>The author tried to identify the herbs from the authentic classical text, <italic>Bhavprakash</italic>,[<xref ref-type="bibr" rid="ref8">8</xref>] traditionally employed in the treatment of cancer, and to analyze the same in terms of <italic>Rasa</italic> (taste), <italic>Guna</italic> (physico-chemical and pharmacodynamic properties), <italic>Veerya</italic> (potency), <italic>Vipaka</italic> (action after digestion and assimilative transformation), and <italic>Dosha Karma</italic> (actions of <italic>Doshas</italic>/humors). Based on this review, it has been possible to enumerate 53 herbs having acclaimed effects on <italic>Arbuda</italic>, <italic>Granthi</italic>, and <italic>Gulma</italic>. The botanical identity for three of these 53 candidates could not be established. Therefore, the rest of 50 herbs are enumerated in <xref ref-type="table" rid="T1">Table 1</xref>.</p><table-wrap id="T1" position="float"><label>Table 1</label><caption><p>Properties (karma) of herbs based on Ayurvedic principles</p></caption><graphic xlink:href="Ayu-33-10-g001"></graphic></table-wrap><p>Further, these selected herbs were studied for their Ayurvedic pharmacological attributes, e.g. <italic>Rasa, Guna, Veerya, Vipaka</italic>, and <italic>Dosha Karma</italic>, as per the descriptions in Ayurvedic texts. The frequency analysis of the pharmacological attributes among these 50 herbs is provided in Tables <xref ref-type="table" rid="T2">2</xref>–<xref ref-type="table" rid="T6">6</xref>.</p><table-wrap id="T2" position="float"><label>Table 2</label><caption><p>Analysis of herbs’ basis <italic>Rasa</italic></p></caption><graphic xlink:href="Ayu-33-10-g002"></graphic></table-wrap><table-wrap id="T3" position="float"><label>Table 3</label><caption><p>Analysis of herbs’ basis <italic>Guna</italic></p></caption><graphic xlink:href="Ayu-33-10-g003"></graphic></table-wrap><table-wrap id="T4" position="float"><label>Table 4</label><caption><p>Analysis of herbs’ basis <italic>Vipaka</italic></p></caption><graphic xlink:href="Ayu-33-10-g004"></graphic></table-wrap><table-wrap id="T5" position="float"><label>Table 5</label><caption><p>Analysis of herbs’ basis <italic>Veerya</italic></p></caption><graphic xlink:href="Ayu-33-10-g005"></graphic></table-wrap><table-wrap id="T6" position="float"><label>Table 6</label><caption><p>Analysis of herbs’ basis <italic>Dosha Karma</italic></p></caption><graphic xlink:href="Ayu-33-10-g006"></graphic></table-wrap><p>On the basis of the classical attributes for the herbs having <italic>Arbudahara/Gulmaghna/Granthihara</italic> effects, it can be safely assumed that these herbs share some specific pharmacological traits in common. Going by the dominance analysis of these attributes and mapping of their percentage distribution, the following scenario emerges.</p><p>Predominant <italic>Rasa</italic>: <italic>Tikta</italic> and <italic>Katu</italic></p><p>Predominant <italic>Guna</italic>: <italic>Laghu</italic>, <italic>Ruksha</italic>, and <italic>Tikshna</italic></p><p>Predominant <italic>Vipaka</italic>: <italic>Katu</italic></p><p>Predominant <italic>Veerya</italic>: <italic>Ushna</italic></p><p>Predominant <italic>Dosha Karma</italic>: <italic>Kapha-Vata Shamana</italic>.</p><p>Going by Ayurvedic pharmacological concepts, an anticancer drug tends to exhibit <italic>Tikta–Katu</italic> Rasa, <italic>Laghu–Ruksha–Teekshna Gunas, Katu Vipaka</italic>, and <italic>Ushna Veerya</italic>. They are generally <italic>Kapha–Vatashamak</italic> in terms of their Dosha Karma. With a view to enhance the scope of potential anticancer species, further screening of <italic>Bhavaprakasha Nighantu</italic> was carried out. The scope of this review was to enumerate other drugs having these specific pharmacological attributes but not listed under the <italic>Gulmahara/Granthihara/Arbudhnashak Karma</italic> properties. This round of review led to enumeration of 13 more botanical species which possibly have a potential for anticancer activity. These species are: <italic>Trachyspermum ammi, Nigella sativa, Juniperus communis, Mallotus philippinensis, Commiphora wightii, Calotropis procera, Calotropis gigantea, Moringa oleifera, Citrullus colocynthis, Cassia angustifolia, Luffa echinata, Amorphophallus campanulatus</italic>, and <italic>Tephrosia purpurea</italic>.</p><p>A schematic representation of this entire review process is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p><fig id="F1" position="float"><label>Figure 1</label><caption><p>Process for selection of potential herbs on the basis of Ayurvedic wisdom</p></caption><graphic xlink:href="Ayu-33-10-g007"></graphic></fig><p>The above scheme of review of classical Ayurvedic <italic>Nighantus</italic> was taken up to identify and shortlist potential anticancer candidates with a presumption that such methodology would enhance overall hit rate during the screening phase.</p><p>The above-mentioned approach of the author is substantiated by a similar type of study conducted earlier by Smit <italic>et al</italic>.,[<xref ref-type="bibr" rid="ref9">9</xref>] who tried to identify the potential plant candidates for their cytostatic activity. The investigators worked to identify the candidate species on the basis of <italic>Samprapti</italic> (pathogenesis) of the disease. In this process, they zeroed down to the herbs having <italic>Pitta Vardhak, Kapha Shamak</italic> effects and <italic>Laghu, Ruksha</italic>, and <italic>Tikshna Gunas</italic> as their Ayurvedic attributes. In all, the investigators enlisted 44 species of which 14 candidates (<italic>Acorus calamus, Calotropis procera, Curcuma zedoaria, Datura metel, Mallotus philippinensis, Melia azedarach, Moringa oleifera, Plumbago zeylanica, Scindapsus officinalis, Semecarpus anacardium, Solanum indicum, Solanum xanthocarpum, Sphaeranthus indicus</italic>, and <italic>Vitex negundo</italic>) were screened against COLO 320 tumor cells, using cisplatin as control. It was observed in the study that seven species exhibited growth inhibition ranging between 83 and 100%.</p><p>Interestingly, three species, viz. <italic>Calotropis procera, Mallotus philippinensis</italic>, and <italic>Moringa oleifera</italic> find place in both the lists of anticancer herbs enumerated by Smit <italic>et al</italic>. and by the author. Two of these three common candidates (<italic>Calotropis procera</italic> and <italic>Mallotus philippinensis</italic>) exhibited cytostatic activity as reported by Smit <italic>et al</italic>. Such commonality of species indicates that it is possible to identify and shortlist the potential candidates for research purposes using the approaches having either a disease orientation (pathophysiological foundations) or drug orientation (pharmacological foundations). The concept can be relied upon from both these perspectives of Ayurveda.</p><p>This approach gets further validated by few published reports on anticancer activity of the botanical species shortlisted through the review mechanism being suggested by the author.</p><p>As seen from the study by Smit <italic>et al</italic>. and the reports enlisted in <xref ref-type="table" rid="T7">Table 7</xref>, the hit rates in biological screening tend to improve with selection of candidates on the basis of Ayurvedic tenets of pharmacology. If this approach is widely accepted and practiced, newer horizons would open for the development of potent Ayurvedic formulations in addition to the improved success rate in development of new drugs.</p><table-wrap id="T7" position="float"><label>Table 7</label><caption><p>Published anticancer activity of the some of the shortlisted herbs</p></caption><graphic xlink:href="Ayu-33-10-g008"></graphic></table-wrap></sec><sec id="sec1-6"><title>Biological Activity Guided Fractionation for Compound Isolation</title><p>Biological activity guided fractionation has been the process deployed to identify the lead druggable candidate from any given phytochemical matrix. However, there is no uniformity in its methodology. Two approaches might be followed as the design of extraction for bioactive guided fractionation leading to compound isolation to act as a lead compound:</p><sec id="sec2-5"><title>i. Parallel approach</title><p>This approach may be applied when the biological activity of the plant is known by its traditional use. The objective of this approach is to isolate compounds responsible for the activity based on their biologic activity. As explained in <xref ref-type="fig" rid="F2">Figure 2</xref>, in parallel extraction approach, three types of extracts are obtained, viz. 100% methanolic extract, 50% methanolic extract, and 100% aqueous extract from a crude plant. The most active fraction based on the primary screening for bioactivity is chosen for further extraction and evaluation.</p><fig id="F2" position="float"><label>Figure 2</label><caption><p>Parallel approach for bioassay-guided fractionation</p></caption><graphic xlink:href="Ayu-33-10-g009"></graphic></fig></sec><sec id="sec2-6"><title>ii. Sequential approach</title><p>This approach may be useful when the biological activity of the subject plant is not known and random selection strategy is adopted for plants. As explained in <xref ref-type="fig" rid="F3">Figure 3</xref>, extraction is done based on the polarity of the solvents and fractions are obtained in a sequential process using hexane, chloroform, ethyl acetate, and butanol as solvents.</p><fig id="F3" position="float"><label>Figure 3</label><caption><p>Sequential polarity based approach of extraction</p></caption><graphic xlink:href="Ayu-33-10-g010"></graphic></fig><p>Further extraction involves purification stage where structural elucidation is done for different compounds.</p><p>Since the bioactivity is assessed at two stages, two distinct models should be chosen keeping in view the end points. The screening model for stage I should be designed to elicit the efficacy. On the other hand, the screening model for secondary screening should be designed with an orientation toward mechanism of action. For example, for discovering potential anti-diabetic molecules from a natural source, glucose uptake assay can be employed as the primary screening model. At stage II, it would be desirable to choose a secondary assay model like Glut 4, PI3 K, and IRTK, which may provide some clue for the mechanism of action. It is also desirable to include an assay for cytotoxicity so as to elicit the safety profile during secondary screening level.</p><p>Bioactivity guided fractionation of any crude extract from natural source in any case would lead to a wide array of possible outcomes at different stages. Also, these outcomes might provide unforeseen opportunities for modulating the discovery design during subsequent stages. <xref ref-type="fig" rid="F4">Figure 4</xref> depicts the possible outcomes of a typical bioactivity guided fractionation.</p><fig id="F4" position="float"><label>Figure 4</label><caption><p>Array of outcome – A schematic representation</p></caption><graphic xlink:href="Ayu-33-10-g011"></graphic></fig><p>By and large, the natural products, if shortlisted on the basis of existing knowledge of usage (be it ethnomedicinal lead or from codified systems of medicine), are likely to lead to three distinct possibilities. A decision on “Go” or “No Go” can be taken based on the strategies suggested in <xref ref-type="table" rid="T8">Table 8</xref>.</p><table-wrap id="T8" position="float"><label>Table 8</label><caption><p>Strategy for the Go-No Go criteria</p></caption><graphic xlink:href="Ayu-33-10-g012"></graphic></table-wrap></sec></sec><sec id="sec1-7"><title>Way Forward and Conclusions</title><p>There is a pertinent need to renew scientific enthusiasm toward natural products for inclusion in drug discovery program. One of the important concerns related to natural products has been the predictability of hit rate during various phases of drug development. Such predictability is expected to be lower in case of random selection of candidate species considering the overall complexity of botanical sources for NCEs. In order to enhance the predictability, strategic selection and shortlisting of candidate species is necessary. Documented clinical experience with botanical medicines as codified in traditional systems of medicine might simplify the issues associated with poor predictability. New functional leads picked up from the traditional knowledge and experiential database may help to reduce time, money, and toxicity, which are the three specific hurdles in the drug development.[<xref ref-type="bibr" rid="ref15">15</xref>]</p><p>An integrative approach by combining the various discovery tools and the new discipline of integrative biology will provide the key for success in natural product drug discovery and development. Since plant selection is the major step involved, it needs a well-designed strategy.</p><p>The following scheme may be followed for appropriate plant selection:</p><p><list list-type="bullet"><list-item><p>Identification of plants: Through a tactical application of traditional wisdom, especially in the context of usage frequency. For this purpose, it is suggested to search classical treatises of Ayurveda like <italic>Bhaishajya Ratnavali</italic> and <italic>Charak Samhita</italic>, in which the formulations are enumerated for the identified therapeutic segment.</p></list-item><list-item><p>Listing of all the formulations and their herbal ingredients (metallic and herbo-mineral formulations need not be considered).</p></list-item><list-item><p>Frequency analysis of the ingredients.</p></list-item><list-item><p>Arriving at Ayurvedic hypothesis of the desired <italic>Rasa, Guna, Veerya, Vipaka</italic>, etc. to achieve particular therapeutic area, e.g. in the case of diabetes, the drug should have dominance of <italic>Katu</italic> and <italic>Tikta Rasa, Laghu Guna, Ushna Veerya</italic>, and <italic>Katu Vipaka</italic>.</p></list-item><list-item><p>Mapping of the ingredients identified above against these Ayurvedic attributes.</p></list-item><list-item><p>Shortlisting of those plant species which match both frequency analysis as well as the Ayurvedic attributes.</p></list-item></list></p><p>Once the task of enumerating potential candidates for screening is over, the extraction procedure can go by a parallel approach instead of the sequential approach as followed for randomly selected species. Rest of the investigational course shall follow the following steps:</p><p><list list-type="bullet"><list-item><p>Screening of biological activity on selective assays.</p></list-item><list-item><p>Bioassay guided fractionation of the identified plant.</p></list-item><list-item><p>Isolation and structure elucidation of the active compound.</p></list-item><list-item><p>Evaluation of chemical do-ability, druggability, and patentability.</p></list-item><list-item><p>Go or no go decisions based on safety, biological activity screening.</p></list-item></list></p><p>It is time for large-scale pharmaceutical organizations to open up the developmental strategies. In view of the increasing cost of development of new drugs, alternative approaches like development of herbal extracts hitting multiple targets as new drugs need serious consideration. Obviously, the cost of development shall be substantially lower in case of herbal extracts. Such strategy would not only enhance the chances of success in terms of providing effective and safe drugs, but also is considered to minimize the risk of post-marketing withdrawals. Such a complementary scenario shall go a long way in safeguarding the interests of both pharmaceutical industry and common man.</p></sec></body><back><ack><title>Acknowledgement</title><p>The first author Dr. Chandrakant Katiyar is thankful to Prof. S. S. 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