Augmented drug combination dataset to improve the performance of machine learning models predicting synergistic anticancer effects

por Liu, Mengmeng, Srivastava, Gopal, Ramanujam, J., Brylinski, Michal
Publicado 2023

ToxiM: A Toxicity Prediction Tool for Small Molecules Developed Using Machine Learning and Chemoinformatics Approaches

por Sharma, Ashok K., Srivastava, Gopal N., Roy, Ankita, Sharma, Vineet K.
Publicado 2017

Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug Design

por Shi, Wentao, Singha, Manali, Srivastava, Gopal, Pu, Limeng, Ramanujam, J., Brylinski, Michal
Publicado 2022

GraphSite: Ligand Binding Site Classification with Deep Graph Learning

por Shi, Wentao, Singha, Manali, Pu, Limeng, Srivastava, Gopal, Ramanujam, Jagannathan, Brylinski, Michal
Publicado 2022

MP4: a machine learning based classification tool for prediction and functional annotation of pathogenic proteins from metagenomic and genomic datasets

por Gupta, Ankit, Malwe, Aditya S., Srivastava, Gopal N., Thoudam, Parikshit, Hibare, Keshav, Sharma, Vineet K.
Publicado 2022

Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer

por Singha, Manali, Pu, Limeng, Srivastava, Gopal, Ni, Xialong, Stanfield, Brent A., Uche, Ifeanyi K., Rider, Paul J. F., Kousoulas, Konstantin G., Ramanujam, J., Brylinski, Michal
Publicado 2023