List of bibliographic references
Number of relevant bibliographic references: 29.
[0-20] [
0 - 20][
0 - 29][
20-28][
20-40]
| Ident. | Authors (with country if any) | Title |
|---|
| 000207 (2021) |
Ahmed A. Ishola ; Kayode E. Adewole ; Habibu Tijjani ; Suliat I. Abdulai ; Nnaemeka T. Asogwa | Phylogenic analysis of coronavirus genome and molecular studies on potential anti-COVID-19 agents from selected FDA-approved drugs. |
| 000247 (2021) |
Fouzia Mesli ; Meriem Ghalem ; Ismail Daoud ; Said Ghalem | Potential inhibitors of angiotensin converting enzyme 2 receptor of COVID-19 by Corchorus olitorius Linn using docking, molecular dynamics, conceptual DFT investigation and pharmacophore mapping. |
| 000341 (2021) |
F O Shode ; A S K. Idowu ; O J Uhomoibhi ; S. Sabiu | Repurposing drugs and identification of inhibitors of integral proteins (spike protein and main protease) of SARS-CoV-2. |
| 000406 (2021) |
Anamika Gupta ; Rumana Ahmad ; Sahabjada Siddiqui ; Kusum Yadav ; Aditi Srivastava ; Anchal Trivedi ; Bilal Ahmad ; Mohsin Ali Khan ; Amit Kumar Shrivastava ; Girish Kumar Singh | Flavonol morin targets host ACE2, IMP-α, PARP-1 and viral proteins of SARS-CoV-2, SARS-CoV and MERS-CoV critical for infection and survival: a computational analysis. |
| 000461 (2021) |
Pawan Kumar Doharey ; Vishal Singh ; Mallikarjuna Rao Gedda ; Amaresh Kumar Sahoo ; Pritish Kumar Varadwaj ; Bechan Sharma | In silico study indicates antimalarials as direct inhibitors of SARS-CoV-2-RNA dependent RNA polymerase. |
| 000509 (2021) |
Chavan Sakshi ; A. Harikrishnan ; Selvakumar Jayaraman ; Ahana Roy Choudhury ; V. Veena | Predictive medicinal metabolites from Momordica dioica against comorbidity related proteins of SARS-CoV-2 infections. |
| 000587 (2020) |
Palaniyandi Umadevi ; Subramanian Manivannan ; Abdulkabeer Muhammed Fayad ; Sreekumar Shelvy | In silico analysis of phytochemicals as potential inhibitors of proteases involved in SARS-CoV-2 infection. |
| 000699 (2020) |
Mohammed Mahbubul Matin ; Monir Uzzaman ; Shagir Ahammad Chowdhury ; Md Mosharef Hossain Bhuiyan | In vitro antimicrobial, physicochemical, pharmacokinetics and molecular docking studies of benzoyl uridine esters against SARS-CoV-2 main protease. |
| 000816 (2020) |
Dhaval Patel ; Mohd Athar ; P C Jha | Computational investigation of binding of chloroquinone and hydroxychloroquinone against PLPro of SARS-CoV-2. |
| 000817 (2020) |
Mala Rajendran ; Sudeep Roy ; Keerthana Ravichandran ; Bagdevi Mishra ; Deepak K. Gupta ; Subash Nagarajan ; Ruby Celsia Arul Selvaraj ; Ivo Provaznik | In silico screening and molecular dynamics of phytochemicals from Indian cuisine against SARS-CoV-2 MPro. |
| 000943 (2020) |
Saurabh Gupta ; Vishal Singh ; Pritish Kumar Varadwaj ; Navajeet Chakravartty ; A V S Krishna Mohan Katta ; Sivarama Prasad Lekkala ; George Thomas ; Srinivasan Narasimhan ; Arjula R. Reddy ; V B Reddy Lachagari | Secondary metabolites from spice and herbs as potential multitarget inhibitors of SARS-CoV-2 proteins. |
| 000947 (2020) |
Joyce Oloaigbe Ogidigo ; Emmanuel A. Iwuchukwu ; Collins U. Ibeji ; Okiemute Okpalefe ; Mahmoud E S. Soliman | Natural phyto, compounds as possible noncovalent inhibitors against SARS-CoV2 protease: computational approach. |
| 000E55 (2020) |
Neeraj Kumar ; Amardeep Awasthi ; Anchala Kumari ; Damini Sood ; Pallavi Jain ; Taru Singh ; Neera Sharma ; Abhinav Grover ; Ramesh Chandra | Antitussive noscapine and antiviral drug conjugates as arsenal against COVID-19: a comprehensive chemoinformatics analysis. |
| 000E85 (2020) |
Adib Ghaleb ; Adnane Aouidate ; Hicham Ben El Ayouchia ; Mohammed Aarjane ; Hafid Anane ; Salah-Eddine Stiriba | In silico molecular investigations of pyridine N-Oxide compounds as potential inhibitors of SARS-CoV-2: 3D QSAR, molecular docking modeling, and ADMET screening. |
| 000F31 (2020) |
Soumita Mukherjee ; Subrata Dasgupta ; Tapasendra Adhikary ; Utpal Adhikari ; Sujit Sankar Panja | Structural insight to hydroxychloroquine-3C-like proteinase complexation from SARS-CoV-2: inhibitor modelling study through molecular docking and MD-simulation study. |
| 000F87 (2020) |
Hadjer Khelfaoui ; Dalal Harkati ; Basil A. Saleh | Molecular docking, molecular dynamics simulations and reactivity, studies on approved drugs library targeting ACE2 and SARS-CoV-2 binding with ACE2. |
| 000F88 (2020) |
Arif Jamal Siddiqui ; Sadaf Jahan ; Syed Amir Ashraf ; Mousa Alreshidi ; Mohammad Saquib Ashraf ; Mitesh Patel ; Mejdi Snoussi ; Ritu Singh ; Mohd Adnan | Current status and strategic possibilities on potential use of combinational drug therapy against COVID-19 caused by SARS-CoV-2. |
| 000F89 (2020) |
Seref Gul ; Onur Ozcan ; Sinan Asar ; Alper Okyar ; Ibrahim Bar S ; Ibrahim Halil Kavakli | In silico identification of widely used and well-tolerated drugs as potential SARS-CoV-2 3C-like protease and viral RNA-dependent RNA polymerase inhibitors for direct use in clinical trials. |
| 001054 (2020) |
Kalirajan Rajagopal ; Potlapati Varakumar ; Baliwada Aparna ; Gowramma Byran ; Srikanth Jupudi | Identification of some novel oxazine substituted 9-anilinoacridines as SARS-CoV-2 inhibitors for COVID-19 by molecular docking, free energy calculation and molecular dynamics studies. |
| 001077 (2020) |
Preeti Pandey ; Jitendra Subhash Rane ; Aroni Chatterjee ; Abhijeet Kumar ; Rajni Khan ; Amresh Prakash ; Shashikant Ray | Targeting SARS-CoV-2 spike protein of COVID-19 with naturally occurring phytochemicals: an in silico study for drug development. |
| 001080 (2020) |
Moussa Sehailia ; Smain Chemat | Antimalarial-agent artemisinin and derivatives portray more potent binding to Lys353 and Lys31-binding hotspots of SARS-CoV-2 spike protein than hydroxychloroquine: potential repurposing of artenimol for COVID-19. |
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidChloroV1/Data/Main/Corpus
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/ISSN.i -k "1538-0254"
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/ISSN.i \
-Sk "1538-0254" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= CovidChloroV1
|flux= Main
|étape= Corpus
|type= indexItem
|index= ISSN.i
|clé= 1538-0254
}}
| This area was generated with Dilib version V0.6.38.
Data generation: Sat May 22 17:02:32 2021. Site generation: Sat May 22 17:06:52 2021 |  |
