Citations

  • Pang M W, He W Q, Lu X F, She Y T, Xie L X, Kong R, Chang S. CoDock-Ligand: combined template-based docking and CNN-based scoring in ligand binding prediction. BMC Bioinformatics, 2023, 24: 444. [Link]
  • Robin X, Studer G, Durairaj J, Eberhardt J, Schwede T and Walters WP. Assessment of protein-ligand complexes in CASP15. Proteins, 2023, 91: 1811-1821. [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]
  • Varadi M, Anyango S, Deshpande M, Nair S, Natassia C, Yordanova G, Yuan D, Stroe O, Wood G, Laydon A et al. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res, 2022, 50: D439-d444. [Link]
  • Aggarwal R, Gupta A, Chelur V, Jawahar C V and Priyakumar U D. DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks. J Chem Inf Model, 2022, 62: 5069-5079. [Link]
  • Ragoza M, Hochuli J, Idrobo E, Sunseri J, Koes DR. Protein-Ligand Scoring with Convolutional Neural Networks. Journal of chemical information and modeling. 2017;57(4):942-57. [Link]