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Dibyajyoti Maity, Baofu Qiao

Balasubramanian Harihar, Konda Mani Saravanan, Michael M. Gromiha, Samuel Selvaraj

Satyanarayana Ramalakshmi, Selvaraj Sathyapriya, Renganathan Senthil, Thirunavukarasou Anand, Konda Mani Saravanan

Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Carmen Gratteri, Filippo Lunghini, Andrea R. Beccari, Carmine Talarico

Kannan Mayuri, Durairaj Varalakshmi, Mayakrishnan Tharaheswari, Chaitanya Sree Somala, Selvaraj Sathya Priya, Nagaraj Bharathkumar, Renganathan Senthil, Raja Babu Singh Kushwah, Sundaram Vickram, Thirunavukarasou Anand, Konda Mani Saravanan

Haiping Zhang, Konda Mani Saravanan

Renganathan Senthil, Thirunavukarasou Anand, Chaitanya Sree Somala, Konda Mani Saravanan

Ayan Chatterjee, Robin Walters, Zohair Shafi, Omair Shafi Ahmed, Michael Sebek, Deisy Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti

Mayuri P Kannan, Sarojini Sreeraman, Chaitanya S Somala, Raja BS Kushwah, Saravanan K Mani, Vickram Sundaram, Anand Thirunavukarasou

Sarojini Sreeraman, Mayuri P. Kannan, Raja Babu Singh Kushwah, Vickram Sundaram, Alaguraj Veluchamy, Anand Thirunavukarasou, Konda Mani Saravanan

Yan Zhu, Lingling Zhao, Naifeng Wen, Junjie Wang, Chunyu Wang

Riccardo Aguti, Erika Gardini, Martina Bertazzo, Sergio Decherchi, Andrea Cavalli

Rajneet Kaur Bijral, Inderpal Singh, Jatinder Manhas, Vinod Sharma

Yufei Feng, Xiaoning Cheng, Shuilong Wu, Konda Mani Saravanan, Wenxin Liu

Lin Gu, Bin Li, Dengming Ming

Konda Mani Saravanan, Haiping Zhang, Md. Tofazzal Hossain, Md. Selim Reza, Yanjie Wei

2025	AlloBench: A Data Set Pipeline for the Development and Benchmarking of Allosteric Site Prediction Tools ACS Omega Dibyajyoti Maity, Baofu Qiao
2025	Importance of Inter-residue Contacts for Understanding Protein Folding and Unfolding Rates, Remote Homology, and Drug Design Molecular Biotechnology Balasubramanian Harihar, Konda Mani Saravanan, Michael M. Gromiha, Samuel Selvaraj
2025	Integrating Deep Learning and Molecular Dynamics to Identify GPR17 Ligands for Glioblastoma Therapy Current Chemical Biology Satyanarayana Ramalakshmi, Selvaraj Sathyapriya, Renganathan Senthil, Thirunavukarasou Anand, Konda Mani Saravanan
2025	GENEOnet: statistical analysis supporting explainability and trustworthiness Statistics Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Carmen Gratteri, Filippo Lunghini, Andrea R. Beccari, Carmine Talarico
2024	Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures BioMedInformatics Kannan Mayuri, Durairaj Varalakshmi, Mayakrishnan Tharaheswari, Chaitanya Sree Somala, Selvaraj Sathya Priya, Nagaraj Bharathkumar, Renganathan Senthil, Raja Babu Singh Kushwah, Sundaram Vickram, Thirunavukarasou Anand, Konda Mani Saravanan
2024	Advances in Deep Learning Assisted Drug Discovery Methods: A Self-review Current Bioinformatics Haiping Zhang, Konda Mani Saravanan
2024	Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions Future Healthcare Journal Renganathan Senthil, Thirunavukarasou Anand, Chaitanya Sree Somala, Konda Mani Saravanan
2023	Improving the generalizability of protein-ligand binding predictions with AI-Bind Nature Communications Ayan Chatterjee, Robin Walters, Zohair Shafi, Omair Shafi Ahmed, Michael Sebek, Deisy Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti
2023	Advancement of Targeted Protein Degradation Strategies As Therapeutics for Undruggable Disease Targets Future Medicinal Chemistry Mayuri P Kannan, Sarojini Sreeraman, Chaitanya S Somala, Raja BS Kushwah, Saravanan K Mani, Vickram Sundaram, Anand Thirunavukarasou
2023	Drug Design and Disease Diagnosis: The Potential of Deep Learning Models in Biology Current Bioinformatics Sarojini Sreeraman, Mayuri P. Kannan, Raja Babu Singh Kushwah, Vickram Sundaram, Alaguraj Veluchamy, Anand Thirunavukarasou, Konda Mani Saravanan
2023	DataDTA: a multi-feature and dual-interaction aggregation framework for drug–target binding affinity prediction Bioinformatics Yan Zhu, Lingling Zhao, Naifeng Wen, Junjie Wang, Chunyu Wang
2022	Probabilistic Pocket Druggability Prediction via One-Class Learning Frontiers in Pharmacology Riccardo Aguti, Erika Gardini, Martina Bertazzo, Sergio Decherchi, Andrea Cavalli
2022	Exploring Artificial Intelligence in Drug Discovery: A Comprehensive Review Archives of Computational Methods in Engineering Rajneet Kaur Bijral, Inderpal Singh, Jatinder Manhas, Vinod Sharma
2022	Hybrid drug-screening strategy identifies potential SARS-CoV-2 cell-entry inhibitors targeting human transmembrane serine protease Structural Chemistry Yufei Feng, Xiaoning Cheng, Shuilong Wu, Konda Mani Saravanan, Wenxin Liu
2022	A multilayer dynamic perturbation analysis method for predicting ligand–protein interactions BMC Bioinformatics Lin Gu, Bin Li, Dengming Ming
2021	Methods in Pharmacology and Toxicology Konda Mani Saravanan, Haiping Zhang, Md. Tofazzal Hossain, Md. Selim Reza, Yanjie Wei
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