A fuzzy logic-based computational method for the repurposing of drugs against COVID-19

Yosef Masoudi-Sobhanzadeh ¹ * , Hosein Esmaeili ² , Ali Masoudi-Nejad ³ *

Cited by CrossRef: 5

1- Su Y, Wu J, Li X, Li J, Zhao X, Pan B, Huang J, Kong Q, Han J. DTSEA: A network-based drug target set enrichment analysis method for drug repurposing against COVID-19. Computers in Biology and Medicine. 2023;159:106969 [Crossref]

2- Liu M, Liu H, Wu T, Zhu Y, Zhou Y, Huang Z, Xiang C, Huang J. ACP-Dnnel: anti-coronavirus peptides’ prediction based on deep neural network ensemble learning. Amino Acids. 2023;55(9):1121 [Crossref]

3- Ebrahimi A, Roshani F. Systems biology approaches to identify driver genes and drug combinations for treating COVID-19. Sci Rep. 2024;14(1) [Crossref]

4- Zhao Y, Chen X, Chen J, Qi X. Decoding Connectivity Map-based drug repurposing for oncotherapy. 2023;24(3) [Crossref]

5- Ahmadian-Attari M, Mohammad Taghizadeh Kashani L, Hajiagha Bozorgi A. Searching Potential Molecules Against SARS-CoV-2 from Costus arabicus L. Root Smoke: A Docking Study. Int J Enteric Pathog. 2022;10(3):85 [Crossref]

6- Bakhtiyari N, Parvizpour S, Masoudi-Sobhanzadeh Y, Masoudi-Nejad A. Computational-based strategies to deal with liver injuries induced by the repurposed drugs against SARS-CoV-2. Informatics in Medicine Unlocked. 2023;41:101336 [Crossref]

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