CHAKRABORTY, Annesha, KRISHNAN, Vignesh und THAMOTHARAN, Subbiah, 2025. Generative adversarial network (GAN) model-based design of potent SARS-Co V-2 Mpro inhibitors using the electron density of ligands and 3 D binding pockets: insights from molecular docking, dynamics simulation, and MM-GBSA analysis. Molecular Diversity. 1 August 2025. Vol. 29, no. 4, p. 3059-3075. DOI 10.1007/s11030-024-11047-9.
Elsevier - Harvard (with titles)Chakraborty, A., Krishnan, V., Thamotharan, S., 2025. Generative adversarial network (GAN) model-based design of potent SARS-Co V-2 Mpro inhibitors using the electron density of ligands and 3 D binding pockets: insights from molecular docking, dynamics simulation, and MM-GBSA analysis. Molecular Diversity 29, 3059-3075. https://doi.org/10.1007/s11030-024-11047-9
American Psychological Association 7th editionChakraborty, A., Krishnan, V., & Thamotharan, S. (2025). Generative adversarial network (GAN) model-based design of potent SARS-Co V-2 Mpro inhibitors using the electron density of ligands and 3 D binding pockets: insights from molecular docking, dynamics simulation, and MM-GBSA analysis. Molecular Diversity, 29(4), 3059-3075. https://doi.org/10.1007/s11030-024-11047-9
Springer - Basic (author-date)Chakraborty A, Krishnan V, Thamotharan S (2025) Generative adversarial network (GAN) model-based design of potent SARS-Co V-2 Mpro inhibitors using the electron density of ligands and 3 D binding pockets: insights from molecular docking, dynamics simulation, and MM-GBSA analysis.. Molecular Diversity 29:3059-3075. https://doi.org/10.1007/s11030-024-11047-9
Juristische Zitierweise (Stüber) (Deutsch)Chakraborty, Annesha/ Krishnan, Vignesh/ Thamotharan, Subbiah, Generative adversarial network (GAN) model-based design of potent SARS-Co V-2 Mpro inhibitors using the electron density of ligands and 3 D binding pockets: insights from molecular docking, dynamics simulation, and MM-GBSA analysis., Molecular Diversity 2025, 3059-3075.