Citations
- Liu K, Lu X F, Shi H, Xu X J, Kong R, Chang S. nCoVDock2: a docking server to predict the binding modes between COVID-19 targets and its potential ligands. Nucleic Acids Research, 2023, 51, gkad414. [Link]
- Kong R, Yang G B, Xue R, Liu M, Wang F, Hu J P, Guo X Q, Chang S. COVID-19 Docking Server: a meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19. Bioinformatics. 2020, 36(20): 5109–5111. [Link]
- Kong R, Wang F, Zhang J, Xu X J, Chang S. CoDockPP: a multistage approach for global and site-specific protein-protein docking. Journal of Chemical Information and Modeling. 2019, 59(8): 3556-3564. [Link]
- Kong R, Liu R R, Xu X M, Zhang D W, Xu X S, Shi H, Chang S. Template‐based modeling and ab‐initio docking using CoDock in CAPRI. Proteins-Structure Function And Bioinformatics, 2020, 88(8): 1100-1109. [Link]
- Trott O, Olson A J. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading. Journal of Computational Chemistry. 2010, 31: 455-461. [Link]
- Li H J, Leung K S, Wong M H, Ballester P J. Correcting the impact of docking pose generation error on binding affinity prediction. BMC Bioinformatics. 2016, 17: 308. [Link]