SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks.
Identifieur interne : 000046 ( Ncbi/Curation ); précédent : 000045; suivant : 000047SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks.
Auteurs : Gaurav Sachdeva [Inde] ; Kaushal Kumar ; Preti Jain ; Srinivasan RamachandranSource :
- Bioinformatics (Oxford, England) [ 1367-4803 ] ; 2005.
Descripteurs français
- KwdFr :
- Adhésines bactériennes (), Adhésines bactériennes (métabolisme), Algorithmes, Alignement de séquences (), Analyse de séquence de protéine (), Animaux, Humains, Isoformes de protéines (), Isoformes de protéines (métabolisme), Logiciel, Modèles biologiques, Modèles chimiques, Modèles statistiques, Relation structure-activité, Similitude de séquences d'acides aminés.
- MESH :
- métabolisme : Adhésines bactériennes, Isoformes de protéines.
- Adhésines bactériennes, Algorithmes, Alignement de séquences, Analyse de séquence de protéine, Animaux, Humains, Isoformes de protéines, Logiciel, Modèles biologiques, Modèles chimiques, Modèles statistiques, Relation structure-activité, Similitude de séquences d'acides aminés.
English descriptors
- KwdEn :
- Adhesins, Bacterial (chemistry), Adhesins, Bacterial (metabolism), Algorithms, Animals, Humans, Models, Biological, Models, Chemical, Models, Statistical, Neural Networks, Computer, Protein Isoforms (chemistry), Protein Isoforms (metabolism), Sequence Alignment (methods), Sequence Analysis, Protein (methods), Sequence Homology, Amino Acid, Software, Structure-Activity Relationship.
- MESH :
- chemical , chemistry : Adhesins, Bacterial, Protein Isoforms.
- chemical , metabolism : Adhesins, Bacterial, Protein Isoforms.
- methods : Sequence Alignment, Sequence Analysis, Protein.
- Algorithms, Animals, Humans, Models, Biological, Models, Chemical, Models, Statistical, Neural Networks, Computer, Sequence Homology, Amino Acid, Software, Structure-Activity Relationship.
Abstract
The adhesion of microbial pathogens to host cells is mediated by adhesins. Experimental methods used for characterizing adhesins are time-consuming and demand large resources. The availability of specialized software can rapidly aid experimenters in simplifying this problem. We have employed 105 compositional properties and artificial neural networks to develop SPAAN, which predicts the probability of a protein being an adhesin (Pad).
DOI: 10.1093/bioinformatics/bti028
PubMed: 15374866
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pubmed:15374866Le document en format XML
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Ramachandran Knowledge Center for Genome Informatics, Institute of Genomics and Integrative Biology Mall Road, Delhi 110 007</wicri:regionArea><wicri:noRegion>Delhi 110 007</wicri:noRegion></affiliation></author><author><name sortKey="Kumar, Kaushal" sort="Kumar, Kaushal" uniqKey="Kumar K" first="Kaushal" last="Kumar">Kaushal Kumar</name></author><author><name sortKey="Jain, Preti" sort="Jain, Preti" uniqKey="Jain P" first="Preti" last="Jain">Preti Jain</name></author><author><name sortKey="Ramachandran, Srinivasan" sort="Ramachandran, Srinivasan" uniqKey="Ramachandran S" first="Srinivasan" last="Ramachandran">Srinivasan Ramachandran</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2005">2005</date><idno type="RBID">pubmed:15374866</idno><idno type="pmid">15374866</idno><idno type="doi">10.1093/bioinformatics/bti028</idno><idno type="wicri:Area/PubMed/Corpus">000D65</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000D65</idno><idno type="wicri:Area/PubMed/Curation">000D65</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000D65</idno><idno type="wicri:Area/PubMed/Checkpoint">000D43</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000D43</idno><idno type="wicri:Area/Ncbi/Merge">000046</idno><idno type="wicri:Area/Ncbi/Curation">000046</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks.</title><author><name sortKey="Sachdeva, Gaurav" sort="Sachdeva, Gaurav" uniqKey="Sachdeva G" first="Gaurav" last="Sachdeva">Gaurav Sachdeva</name><affiliation wicri:level="1"><nlm:affiliation>G.N. Ramachandran Knowledge Center for Genome Informatics, Institute of Genomics and Integrative Biology Mall Road, Delhi 110 007, India.</nlm:affiliation><country xml:lang="fr">Inde</country><wicri:regionArea>G.N. Ramachandran Knowledge Center for Genome Informatics, Institute of Genomics and Integrative Biology Mall Road, Delhi 110 007</wicri:regionArea><wicri:noRegion>Delhi 110 007</wicri:noRegion></affiliation></author><author><name sortKey="Kumar, Kaushal" sort="Kumar, Kaushal" uniqKey="Kumar K" first="Kaushal" last="Kumar">Kaushal Kumar</name></author><author><name sortKey="Jain, Preti" sort="Jain, Preti" uniqKey="Jain P" first="Preti" last="Jain">Preti Jain</name></author><author><name sortKey="Ramachandran, Srinivasan" sort="Ramachandran, Srinivasan" uniqKey="Ramachandran S" first="Srinivasan" last="Ramachandran">Srinivasan Ramachandran</name></author></analytic><series><title level="j">Bioinformatics (Oxford, England)</title><idno type="ISSN">1367-4803</idno><imprint><date when="2005" type="published">2005</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adhesins, Bacterial (chemistry)</term><term>Adhesins, Bacterial (metabolism)</term><term>Algorithms</term><term>Animals</term><term>Humans</term><term>Models, Biological</term><term>Models, Chemical</term><term>Models, Statistical</term><term>Neural Networks, Computer</term><term>Protein Isoforms (chemistry)</term><term>Protein Isoforms (metabolism)</term><term>Sequence Alignment (methods)</term><term>Sequence Analysis, Protein (methods)</term><term>Sequence Homology, Amino Acid</term><term>Software</term><term>Structure-Activity Relationship</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adhésines bactériennes ()</term><term>Adhésines bactériennes (métabolisme)</term><term>Algorithmes</term><term>Alignement de séquences ()</term><term>Analyse de séquence de protéine ()</term><term>Animaux</term><term>Humains</term><term>Isoformes de protéines ()</term><term>Isoformes de protéines (métabolisme)</term><term>Logiciel</term><term>Modèles biologiques</term><term>Modèles chimiques</term><term>Modèles statistiques</term><term>Relation structure-activité</term><term>Similitude de séquences d'acides aminés</term></keywords><keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Adhesins, Bacterial</term><term>Protein Isoforms</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Adhesins, Bacterial</term><term>Protein Isoforms</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Sequence Alignment</term><term>Sequence Analysis, Protein</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Adhésines bactériennes</term><term>Isoformes de protéines</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Animals</term><term>Humans</term><term>Models, Biological</term><term>Models, Chemical</term><term>Models, Statistical</term><term>Neural Networks, Computer</term><term>Sequence Homology, Amino Acid</term><term>Software</term><term>Structure-Activity Relationship</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adhésines bactériennes</term><term>Algorithmes</term><term>Alignement de séquences</term><term>Analyse de séquence de protéine</term><term>Animaux</term><term>Humains</term><term>Isoformes de protéines</term><term>Logiciel</term><term>Modèles biologiques</term><term>Modèles chimiques</term><term>Modèles statistiques</term><term>Relation structure-activité</term><term>Similitude de séquences d'acides aminés</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The adhesion of microbial pathogens to host cells is mediated by adhesins. Experimental methods used for characterizing adhesins are time-consuming and demand large resources. The availability of specialized software can rapidly aid experimenters in simplifying this problem. We have employed 105 compositional properties and artificial neural networks to develop SPAAN, which predicts the probability of a protein being an adhesin (Pad).</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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