WideDTA: prediction of drug-target binding affinity

4 February 2019

Papers citing "WideDTA: prediction of drug-target binding affinity"

8 / 8 papers shown

Title
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction Qingyuan Feng Evgenia V. Dueva Artem Cherkasov Martin Ester 40 86 0 25 Jul 2018
A novel methodology on distributed representations of proteins using their interacting ligands Hakime Öztürk E. Olmez Arzucan Özgür 49 36 0 30 Jan 2018
DeepDTA: Deep Drug-Target Binding Affinity Prediction Hakime Öztürk E. Olmez Arzucan Özgür 100 1,077 0 30 Jan 2018
Development and evaluation of a deep learning model for protein-ligand binding affinity prediction Marta M. Stepniewska-Dziubinska P. Zielenkiewicz P. Siedlecki 40 440 0 19 Dec 2017
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity Joseph Gomes Bharath Ramsundar Evan N. Feinberg Vijay S. Pande 49 193 0 30 Mar 2017
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 269 11,152 0 14 Mar 2016
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery Izhar Wallach Michael Dzamba Abraham Heifets 82 542 0 10 Oct 2015
ProtVec: A Continuous Distributed Representation of Biological Sequences Ehsaneddin Asgari M. R. Mofrad 56 362 0 17 Mar 2015