Performance characteristics of recycled concrete aggregate as an unbound pavement material by S. Jayakody, C. Gallage, J. Ramanujam

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Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug Design by Wentao Shi, Manali Singha, Gopal Srivastava, Limeng Pu, J. Ramanujam, J. Ramanujam, Michal Brylinski, Michal Brylinski

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Augmented drug combination dataset to improve the performance of machine learning models predicting synergistic anticancer effects by Mengmeng Liu, Gopal Srivastava, J. Ramanujam, Michal Brylinski

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SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy by Mengmeng Liu, Gopal Srivastava, J. Ramanujam, Michal Brylinski

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An integrated network representation of multiple cancer-specific data for graph-based machine learning by Limeng Pu, Manali Singha, Hsiao-Chun Wu, Costas Busch, J. Ramanujam, Michal Brylinski

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GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data by Guannan Liu, Manali Singha, Limeng Pu, Prasanga Neupane, Joseph Feinstein, Hsiao-Chun Wu, J. Ramanujam, Michal Brylinski

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GeauxDock: Accelerating Structure-Based Virtual Screening with Heterogeneous Computing. by Ye Fang, Yun Ding, Wei P Feinstein, David M Koppelman, Juana Moreno, Mark Jarrell, J Ramanujam, Michal Brylinski

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Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors by Manali Singha, Limeng Pu, Brent A. Stanfield, Ifeanyi K. Uche, Paul J. F. Rider, Konstantin G. Kousoulas, J. Ramanujam, Michal Brylinski

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Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer by Manali Singha, Limeng Pu, Gopal Srivastava, Xialong Ni, Brent A. Stanfield, Ifeanyi K. Uche, Paul J. F. Rider, Konstantin G. Kousoulas, J. Ramanujam, Michal Brylinski

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