IMG

Dissecting errors in machine learning for retrosynthesis: a granular metric framework and a transformer-based model for more informative predictions
Arihanth Srikar Tadanki, H Surya Prakash Rao, Deva Priyakumar U
Digital Discovery, DD, 2025
Core Rank : - Google Rank :20
GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction
Suyash Gupta, Deva Priyakumar U, Siddhartha Laghuvarapu
Conference on AI in Healthcare, ICAIHC, 2024
Generative artificial intelligence for small molecule drug design
Ganesh Chandan Kanakala, Sriram Devata, Prathit Chatterjee, Deva Priyakumar U
Current Opinion in Biotechnology, COBT, 2024
Google Rank :235
Dissecting Errors in Machine Learning for Retrosynthesis: A Granular Metric Framework and Transformer-Based Model for More Informative Predictions
Arihanth Srikar Tadanki, H. Surya Prakash Rao, Deva Priyakumar U
Digital Discovery, DD, 2024
Core Rank : - Google Rank :20
TorRNA - Improved Prediction of Backbone Torsion Angles of RNA by Leveraging Large Language Models
Devata Sriram, Deva Priyakumar U
Chem arxiv, Chem arxiv, 2024
Core Rank : - Google Rank :-
PLAS-20k: Extended Dataset of Protein-Ligand Affinities from MD Simulations for Machine Learning Applications
Saalim H. Raza, Shubham Sharma, Shruti S Jeurkar, Kavita Thakran, Reena Jaglan, Shivangi Verma, Deva Priyakumar U, Divya Nayar, Prathit Chatterjee, Indhu Ramachandran, Divya B Kolepara, Vasavi C.s., Rakesh Srivastava, Pradeep Kumar Pal, Vishal Kumar, Shivam Pandit, Aathira G. Nair, Sanjana Pandey
Scientific Data, SD, 2024
Core Rank : - Google Rank :115
DeepSPInN - Deep reinforcement learning for molecular Structure Prediction from Infrared and 13C NMR spectra
Devata Sriram, S Bhuvanesh, Sarvesh Mehta, Yashaswi Pathak, Siddhartha Laghuvarapu, Girish Varma, Deva Priyakumar U
Digital Discovery, DD, 2024
Core Rank : - Google Rank :20
Molecular Property Diagnostic Suite for COVID-19 (MPDSCOVID-19): An open access disease specific drug discovery porta
Deva Priyakumar U
bioRxiv, bioRxiv, 2023
Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework
Akshit Garg, V Vijay Vignesh, Deva Priyakumar U
International Joint Conference on Neural Networks, IJCNN, 2023
Core Rank : B Google Rank :64
A Machine Learning Approach for Outcome Prediction in Postanoxic Coma Patients Using Frequency Domain Features
V Vijay Vignesh, Akshit Garg, Maitreya Maity, Deva Priyakumar U
Computing in Cardiology, CinC, 2023
Core Rank : - Google Rank :18