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For: Oluyori AP, Olanipekun BE, Adeyemi OS, Egharevba GO, Adegboyega AE, Oladeji OS. Molecular docking, pharmacophore modelling, MD simulation and in silico ADMET study reveals bitter cola constituents as potential inhibitors of SARS-CoV-2 main protease and RNA dependent-RNA polymerase. J Biomol Struct Dyn 2023;41:1510-25. [PMID: 34996336 DOI: 10.1080/07391102.2021.2024883] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Nag A, Dhull N, Gupta A. Evaluation of tea (Camellia sinensis L.) phytochemicals as multi-disease modulators, a multidimensional in silico strategy with the combinations of network pharmacology, pharmacophore analysis, statistics and molecular docking. Mol Divers 2023;27:487-509. [PMID: 35536529 DOI: 10.1007/s11030-022-10437-1] [Reference Citation Analysis]
2 Bicak B, Kecel Gunduz S. Computer-Aided Drug Design of Plant-Based Compounds. Advances in Bioinformatics and Biomedical Engineering 2022. [DOI: 10.4018/978-1-6684-7337-5.ch013] [Reference Citation Analysis]
3 Kiriacos CJ, Khedr MR, Tadros M, Youness RA. Prospective Medicinal Plants and Their Phytochemicals Shielding Autoimmune and Cancer Patients Against the SARS-CoV-2 Pandemic: A Special Focus on Matcha. Front Oncol 2022;12:837408. [PMID: 35664773 DOI: 10.3389/fonc.2022.837408] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Alici H, Tahtaci H, Demir K. Design and various in silico studies of the novel curcumin derivatives as potential candidates against COVID-19 -associated main enzymes. Comput Biol Chem 2022;98:107657. [PMID: 35259661 DOI: 10.1016/j.compbiolchem.2022.107657] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]