Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks

13 April 2023

Papers citing "Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks"

8 / 8 papers shown

Title
ProGen2: Exploring the Boundaries of Protein Language Models Erik Nijkamp Jeffrey A. Ruffolo Eli N. Weinstein Nikhil Naik Ali Madani AI4TS 72 311 0 27 Jun 2022
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval Pascal Notin M. Dias J. Frazer Javier Marchena-Hurtado Aidan Gomez D. Marks Y. Gal 111 189 0 27 May 2022
Protein Representation Learning by Geometric Structure Pretraining Zuobai Zhang Minghao Xu Arian R. Jamasb Vijil Chenthamarakshan A. Lozano Payel Das Jian Tang SSL 74 233 0 11 Mar 2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction Hannes Stärk O. Ganea L. Pattanaik Regina Barzilay Tommi Jaakkola 102 270 0 07 Feb 2022
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 113 1,033 0 19 Feb 2021
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing Stephan Eismann Patricia Suriana Raphael J. L. Townshend R. Dror GNN 3DV 77 494 0 03 Sep 2020
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing Ahmed Elnaggar M. Heinzinger Christian Dallago Ghalia Rehawi Yu Wang ... Tamas B. Fehér Christoph Angerer Martin Steinegger D. Bhowmik B. Rost DRL 80 955 0 13 Jul 2020
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015