CoSP: Co-supervised pretraining of pocket and ligand

CoSP: Co-supervised pretraining of pocket and ligand

23 June 2022

Cheng Tan

Lirong Wu

Stan Z. Li

Papers citing "CoSP: Co-supervised pretraining of pocket and ligand"

8 / 8 papers shown

Title
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening Bowen Gao Bo Qiang Haichuan Tan Minsi Ren Yinjun Jia Minsi Lu Jingjing Liu Wei-Ying Ma Yanyan Lan 13 8 0 10 Oct 2023
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement Zhangyang Gao Cheng Tan Stan Z. Li 19 15 0 20 May 2023
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer Cheng Tan Zhangyang Gao Lirong Wu Jun-Xiong Xia Jiangbin Zheng Xihong Yang Yue Liu Bozhen Hu Stan Z. Li 20 14 0 21 Apr 2023
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB Zhangyang Gao Cheng Tan Stan Z. Li 132 52 0 01 Feb 2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding Ningyu Zhang Zhen Bi Xiaozhuan Liang Shuyang Cheng Haosen Hong Shumin Deng J. Lian Qiang Zhang Huajun Chen 88 86 0 23 Jan 2022
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 112 294 0 07 Oct 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 188 1,218 0 08 Jan 2021
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 154 1,748 0 02 Mar 2017