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For: Li X, Yu J, Zhang Z, Ren J, Peluffo AE, Zhang W, Zhao Y, Wu J, Yan K, Cohen D, Wang W. Network bioinformatics analysis provides insight into drug repurposing for COVID-19. Med Drug Discov 2021;10:100090. [PMID: 33817623 DOI: 10.1016/j.medidd.2021.100090] [Cited by in Crossref: 23] [Cited by in F6Publishing: 15] [Article Influence: 11.5] [Reference Citation Analysis]
Number Citing Articles
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7 Rodrigues L, Bento Cunha R, Vassilevskaia T, Viveiros M, Cunha C. Drug Repurposing for COVID-19: A Review and a Novel Strategy to Identify New Targets and Potential Drug Candidates. Molecules 2022;27. [PMID: 35566073 DOI: 10.3390/molecules27092723] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
8 Hamed AA, Fandy TE, Tkaczuk KL, Verspoor K, Lee BS. COVID-19 Drug Repurposing: A Network-Based Framework for Exploring Biomedical Literature and Clinical Trials for Possible Treatments. Pharmaceutics 2022;14:567. [DOI: 10.3390/pharmaceutics14030567] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Omer SE, Ibrahim TM, Krar OA, Ali AM, Makki AA, Ibraheem W, Alzain AA. Drug repurposing for SARS-CoV-2 main protease: Molecular docking and molecular dynamics investigations. Biochemistry and Biophysics Reports 2022;29:101225. [DOI: 10.1016/j.bbrep.2022.101225] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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12 Soni VK, Mehta A, Sharma K, Ratre YK, Dwivedi M, Chaturvedi N, Shukla D, Dixit AK, Singh AK, Vishvakarma NK. Immunity boosters in COVID-19: Reality or myth? MEDINDIA 2022;1:3. [DOI: 10.25259/medindia_1_2021] [Reference Citation Analysis]
13 Panda S, Kumari L, Badwaik HR, Shanmugarajan D. Computational approaches for drug repositioning and repurposing to combat SARS-CoV-2 infection. Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV-2 Infection 2022. [DOI: 10.1016/b978-0-323-91172-6.00008-x] [Reference Citation Analysis]
14 Wang Z, Yang B. Polypharmacology in Old Drug Rediscovery: Drug Repurposing. Polypharmacology 2022. [DOI: 10.1007/978-3-031-04998-9_13] [Reference Citation Analysis]
15 Wang Z, Yang B. Basics of Polypharmacology. Polypharmacology 2022. [DOI: 10.1007/978-3-031-04998-9_1] [Reference Citation Analysis]
16 Liu Z, Chen X, Carter W, Moruf A, Komatsu TE, Pahwa S, Chan-tack K, Snyder K, Petrick N, Cha K, Lal-nag M, Hatim Q, Thakkar S, Lin Y, Huang R, Wang D, Patterson TA, Tong W. AI-powered drug repurposing for developing COVID-19 treatments. Reference Module in Biomedical Sciences 2022. [DOI: 10.1016/b978-0-12-824010-6.00005-8] [Reference Citation Analysis]
17 Abdelsattar AS, El-awadly ZM, Abdelgawad M, Mahmoud F, Allam SA, Helal MA. The Role of Molecular Modeling and Bioinformatics in Treating a Pandemic Disease: The Case of COVID-19. TOCOVIDJ 2021;1:216-234. [DOI: 10.2174/2666958702101010216] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Wang J, Zhang Y, Nie W, Luo Y, Deng L. Computational anti-COVID-19 drug design: progress and challenges. Brief Bioinform 2021:bbab484. [PMID: 34850817 DOI: 10.1093/bib/bbab484] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
19 Mishra A, Shaik HA, Sinha RK, Shah BR. Andrographolide: A Herbal-Chemosynthetic Approach for Enhancing Immunity, Combating Viral Infections, and Its Implication on Human Health. Molecules 2021;26:7036. [PMID: 34834128 DOI: 10.3390/molecules26227036] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
20 Imami AS, McCullumsmith RE, O'Donovan SM. Strategies to identify candidate repurposable drugs: COVID-19 treatment as a case example. Transl Psychiatry 2021;11:591. [PMID: 34785660 DOI: 10.1038/s41398-021-01724-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
21 Amilpur S, Bhukya R. Predicting novel drug candidates against Covid-19 using generative deep neural networks. J Mol Graph Model 2022;110:108045. [PMID: 34688160 DOI: 10.1016/j.jmgm.2021.108045] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
22 Vertsimakha O, Dzeverin I. Using bootstrap procedures for testing the modular partition inferred via leading eigenvector community detection algorithm.. [DOI: 10.1101/2021.10.04.462969] [Reference Citation Analysis]
23 Russo G, Di Salvatore V, Sgroi G, Parasiliti Palumbo GA, Reche PA, Pappalardo F. A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets. Brief Bioinform 2021:bbab403. [PMID: 34607353 DOI: 10.1093/bib/bbab403] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
24 Aghdam R, Habibi M, Taheri G. Using informative features in machine learning based method for COVID-19 drug repurposing. J Cheminform 2021;13:70. [PMID: 34544500 DOI: 10.1186/s13321-021-00553-9] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
25 Desvaux E, Hamon A, Hubert S, Boudjeniba C, Chassagnol B, Swindle J, Aussy A, Laigle L, Laplume J, Soret P, Jean-François P, Dupin-Roger I, Guedj M, Moingeon P. Network-based repurposing identifies anti-alarmins as drug candidates to control severe lung inflammation in COVID-19. PLoS One 2021;16:e0254374. [PMID: 34293006 DOI: 10.1371/journal.pone.0254374] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
26 Karpiński TM, Kwaśniewski M, Ożarowski M, Alam R. In silico studies of selected xanthophylls as potential candidates against SARS-CoV-2 targeting main protease (Mpro) and papain-like protease (PLpro). Herba Polonica 2021;67:1-8. [DOI: 10.2478/hepo-2021-0009] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
27 El-Rashidy N, Abdelrazik S, Abuhmed T, Amer E, Ali F, Hu JW, El-Sappagh S. Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic. Diagnostics (Basel) 2021;11:1155. [PMID: 34202587 DOI: 10.3390/diagnostics11071155] [Cited by in Crossref: 17] [Cited by in F6Publishing: 19] [Article Influence: 8.5] [Reference Citation Analysis]
28 Auwul MR, Rahman MR, Gov E, Shahjaman M, Moni MA. Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19. Brief Bioinform 2021:bbab120. [PMID: 33839760 DOI: 10.1093/bib/bbab120] [Cited by in Crossref: 28] [Cited by in F6Publishing: 32] [Article Influence: 14.0] [Reference Citation Analysis]