Deep Learning in Protein Structural Modeling and Design

Deep Learning in Protein Structural Modeling and Design

16 July 2020

Wenhao Gao

Jeffrey J. Gray

Papers citing "Deep Learning in Protein Structural Modeling and Design"

11 / 11 papers shown

Title
Model-based reinforcement learning for protein backbone design Frederic Renard Cyprien Courtot Alfredo Reichlin Oliver Bent 45 0 0 03 May 2024
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement Zhangyang Gao Cheng Tan Stan Z. Li 27 15 0 20 May 2023
Learning the shape of protein micro-environments with a holographic convolutional neural network Michael N. Pun Andrew Ivanov Quinn Bellamy Zachary Montague Colin H. LaMont P. Bradley J. Otwinowski Armita Nourmohammad 13 12 0 05 Nov 2022
Protein Sequence and Structure Co-Design with Equivariant Translation Chence Shi Chuanrui Wang Jiarui Lu Bozitao Zhong Jian Tang DiffM 27 47 0 17 Oct 2022
PiFold: Toward effective and efficient protein inverse folding Zhangyang Gao Cheng Tan Pablo Chacón Stan Z. Li AI4CE 67 104 0 22 Sep 2022
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 179 90 0 31 Aug 2021
BIGDML: Towards Exact Machine Learning Force Fields for Materials H. E. Sauceda Luis E Gálvez-González Stefan Chmiela L. O. Paz-Borbón K. Müller A. Tkatchenko AI4CE 26 47 0 08 Jun 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development Kexin Huang Tianfan Fu Wenhao Gao Yue Zhao Yusuf Roohani J. Leskovec Connor W. Coley Cao Xiao Jimeng Sun Marinka Zitnik OOD LM&MA 33 261 0 18 Feb 2021
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 39 65 0 08 Oct 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016