Current Computer-Aided Drug Design

Papers
(The H4-Index of Current Computer-Aided Drug Design is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Hispidin and Lepidine E: Two Natural Compounds and Folic Acid as Potential Inhibitors of 2019-novel Coronavirus Main Protease (2019-nCoVMpro), Molecular Docking and SAR Study43
Synthesis, In silico and In vitro Analysis of Hydrazones as Potential Antituberculosis Agents33
Synthesis, admetSAR Predictions, DPPH Radical Scavenging Activity, and Potent Anti-mycobacterial Studies of Hydrazones of Substituted 4-(anilino methyl) benzohydrazides (Part 2)29
Synthesis, In silico and Biological Studies of Thiazolyl-2h-chromen-2-one Derivatives as Potent Antitubercular Agents26
Synthesis and Anti-mycobacterium Study on Halo-substituted 2-aryl oxyacetohydrazones26
Petra/Osiris/Molinspiration and Molecular Docking Analyses of 3-Hydroxy-Indolin-2-one Derivatives as Potential Antiviral Agents25
Synthesis, SAR, In silico Appraisal and Anti-Microbial Study of Substituted 2-aminobenzothiazoles Derivatives25
Dehydroabietylamine, A Diterpene from Carthamus tinctorious L. Showing Antibacterial and Anthelmintic Effects with Computational Evidence19
Molecular Docking Based Analysis to Elucidate the DNA Topoisomerase IIβ as the Potential Target for the Ganoderic Acid; A Natural Therapeutic Agent in Cancer Therapy17
In silico Molecular Docking Study to Search New SGLT2 Inhibitor based on Dioxabicyclo[3.2.1] Octane Scaffold16
Synthesis, Antitumor Activity, Molecular Docking and DFT Study of Novel Pyrimidiopyrazole Derivatives15
MolOpt: A Web Server for Drug Design using Bioisosteric Transformation14
Computer-Aided Detection System for the Classification of Non-Small Cell Lung Lesions using SVM14
Multiple-targets Directed Screening of Flavonoid Compounds from Citrus Species to find out Antimalarial Lead with Predicted Mode of Action: An In Silico and Whole Cell-based In vitro Approach13
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