Energy-based Graph Convolutional Networks for Scoring Protein Docking Models

28 December 2019

Papers citing "Energy-based Graph Convolutional Networks for Scoring Protein Docking Models"

6 / 6 papers shown

Title
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities Charlotte Bunne Yusuf Roohani Yanay Rosen Ankit Gupta Xikun Zhang ... Theofanis Karaletsos Aviv Regev Emma Lundberg J. Leskovec Stephen R. Quake 48 20 0 18 Sep 2024
DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment Xiao Chen Alex Morehead Jian Liu Jianlin Cheng 45 7 0 21 May 2022
An Energy-Based View of Graph Neural Networks John Y. Shin Prathamesh Dharangutte GNN 41 1 0 27 Apr 2021
Spherical convolutions on molecular graphs for protein model quality assessment Ilia Igashov Nikita Pavlichenko Sergei Grudinin 24 14 0 16 Nov 2020
Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact Prediction Yuning You Yang Shen 25 8 0 14 Nov 2020
Hierarchical, rotation-equivariant neural networks to select structural models of protein complexes Stephan Eismann Raphael J. L. Townshend Nathaniel Thomas Milind Jagota Bowen Jing R. Dror 13 8 0 05 Jun 2020