ParaVS: A Simple, Fast, Efficient and Flexible Graph Neural Network Framework for Structure-Based Virtual Screening

8 February 2021

Papers citing "ParaVS: A Simple, Fast, Efficient and Flexible Graph Neural Network Framework for Structure-Based Virtual Screening"

5 / 5 papers shown

Title
Improving detection of protein-ligand binding sites with 3D segmentation Marta M. Stepniewska-Dziubinska P. Zielenkiewicz P. Siedlecki MedIm 32 92 0 13 Apr 2019
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences Xuesu Xiao Jongsoo Keum Mohamed Suhail 43 418 0 06 Nov 2018
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks Mostafa Karimi Di Wu Zhangyang Wang Yang Shen 74 361 0 20 Jun 2018
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery Izhar Wallach Michael Dzamba Abraham Heifets 84 542 0 10 Oct 2015
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 269 12,439 0 24 Jun 2012