PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction

25 July 2018

Papers citing "PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction"

5 / 5 papers shown

Title
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery Daniel Manu Jingjing Yao Wuji Liu Xiang Sun FedML 30 6 0 11 Apr 2023
Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity Shrimon Mukherjee Madhusudan Ghosh Partha Basuchowdhuri 11 28 0 18 Jan 2022
CSI: Contrastive Data Stratification for Interaction Prediction and its Application to Compound-Protein Interaction Prediction A. Kalia Dilip Krishnan Soha Hassoun Tufts University 11 2 0 18 Nov 2021
Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts Mostafa Karimi Di Wu Zhangyang Wang Yang Shen 27 46 0 29 Dec 2019
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 166 1,775 0 02 Mar 2017