Multi-Scale Representation Learning on Proteins

4 April 2022

Papers citing "Multi-Scale Representation Learning on Proteins"

8 / 8 papers shown

Title
Evaluating representation learning on the protein structure universe Arian R. Jamasb Alex Morehead Chaitanya K. Joshi Zuobai Zhang Kieran Didi ... Charles Harris Jian Tang Jianlin Cheng Pietro Lio Tom L. Blundell SSL 29 12 0 19 Jun 2024
A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction Hongzhi Zhang Xiuwen Gong Shirui Pan Jia Wu Bo Du Wenbin Hu 11 2 0 23 May 2024
Exploiting Hierarchical Interactions for Protein Surface Learning Yiqun Lin Liang Pan Yi Li Ziwei Liu Xiaomeng Li 19 1 0 17 Jan 2024
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 21 3 0 28 Sep 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 14 8 0 16 Feb 2023
Integration of Pre-trained Protein Language Models into Geometric Deep Learning Networks Fang Wu Yujun Tao Dragomir R. Radev Jinbo Xu Stan Z. Li AI4CE 17 32 0 07 Dec 2022
Structure-based drug design with geometric deep learning Clemens Isert Kenneth Atz G. Schneider 27 104 0 19 Oct 2022
Superpixels: An Evaluation of the State-of-the-Art David Stutz Alexander Hermans Bastian Leibe SupR 57 468 0 06 Dec 2016