Balanced Parallel Exploration of Orthogonal Regions by Wyatt Clements, Costas Busch, Limeng Pu, Daniel Smith, Hsiao-Chun Wu

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GraphSite: Ligand Binding Site Classification with Deep Graph Learning by Wentao Shi, Manali Singha, Limeng Pu, Gopal Srivastava, Jagannathan 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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DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network. by Limeng Pu, Rajiv Gandhi Govindaraj, Jeffrey Mitchell Lemoine, Hsiao-Chun Wu, Michal Brylinski

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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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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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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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