Generative adversarial network (GAN) model-based design of potent SARS-CoV-2 Mpro inhibitors using the electron density of ligands and 3D binding pockets: insights from molecular docking, dynamics simulation, and MM-GBSA analysis
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DOI: https://doi.org/10.1007/s11030-024-11047-9
文献链接: https://link.springer.com/10.1007/s11030-024-11047-9
其他信息:
出版社: Springer Science and Business Media LLC
作者: Annesha Chakraborty; Vignesh Krishnan; Subbiah Thamotharan
全文下载地址: https://link.springer.com/content/pdf/10.1007/s11030-024-11047-9.pdf
