Performance characteristics of recycled concrete aggregate as an unbound pavement material

por Jayakody, S., Gallage, C., Ramanujam, J.
Publicado 2019

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

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

An integrated network representation of multiple cancer-specific data for graph-based machine learning

por Pu, Limeng, Singha, Manali, Wu, Hsiao-Chun, Busch, Costas, Ramanujam, J., Brylinski, Michal
Publicado 2022

GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data

por Liu, Guannan, Singha, Manali, Pu, Limeng, Neupane, Prasanga, Feinstein, Joseph, Wu, Hsiao-Chun, Ramanujam, J., Brylinski, Michal
Publicado 2021

GeauxDock: Accelerating Structure-Based Virtual Screening with Heterogeneous Computing

por Fang, Ye, Ding, Yun, Feinstein, Wei P., Koppelman, David M., Moreno, Juana, Jarrell, Mark, Ramanujam, J., Brylinski, Michal
Publicado 2016

Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors

por Singha, Manali, Pu, Limeng, Stanfield, Brent A., Uche, Ifeanyi K., Rider, Paul J. F., Kousoulas, Konstantin G., Ramanujam, J., Brylinski, Michal
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