U. Deva Priyakumar

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 25

Top Topics

Protein Sequences

Machine Learning

Top Venues

J. Chem. Inf. Model.

J. Comput. Chem.

Publications

Abhiroop Talasila, Maitreya Maity, U. Deva Priyakumar
Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers. CoRR (2024)
Suyash Gupta, Siddhartha Laghuvarapu, U. Deva Priyakumar
GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction. AIiH (1) (2024)
Bhuvanesh Sridharan, Animesh Sinha, Jai Bardhan, Rohit Modee, Masahiro Ehara, U. Deva Priyakumar
Deep reinforcement learning in chemistry: A review. J. Comput. Chem. 45 (22, August) (2024)
Abhiroop Talasila, Akshaya Karthikeyan, Shanmukh Alle, Maitreya Maity, U. Deva Priyakumar
Self-Supervision and Weak Supervision for Accurate and Interpretable Chest X-Ray Classification Models. IJCNN (2023)
Vijay Vignesh Venkataramani, Akshit Garg, Maitreya Maity, U. Deva Priyakumar
A Machine Learning Approach for Outcome Prediction in Postanoxic Coma Patients Using Frequency Domain Features. CinC (2023)
Akshit Garg, Vijay Vignesh Venkataramani, U. Deva Priyakumar
Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework. IJCNN (2023)
Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. CoRR (2022)
Vijay Vignesh Venkataramani, Akshit Garg, U. Deva Priyakumar
Modified Variable Kernel Length ResNets for Heart Murmur Detection and Clinical Outcome Prediction Using Phonocardiogram Recordings. CinC (2022)
Akshit Garg, Vijay Vignesh Venkataramani, Akshaya Karthikeyan, U. Deva Priyakumar
Modern AI/ML Methods for Healthcare: Opportunities and Challenges. ICDCIT (2022)
A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar
Mining subgraph coverage patterns from graph transactions. Int. J. Data Sci. Anal. 13 (2) (2022)
Rishal Aggarwal, Akash Gupta, Vineeth R. Chelur, C. V. Jawahar, U. Deva Priyakumar
DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks. J. Chem. Inf. Model. 62 (21) (2022)
Rohit Modee, Siddhartha Laghuvarapu, U. Deva Priyakumar
Benchmark study on deep neural network potentials for small organic molecules. J. Comput. Chem. 43 (5) (2022)
Vineeth R. Chelur, U. Deva Priyakumar
BiRDS - Binding Residue Detection from Protein Sequences Using Deep ResNets. J. Chem. Inf. Model. 62 (8) (2022)
Viraj Bagal, Rishal Aggarwal, P. K. Vinod, U. Deva Priyakumar
MolGPT: Molecular Generation Using a Transformer-Decoder Model. J. Chem. Inf. Model. 62 (9) (2022)
Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. SMC (2021)
A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar
A Model of Graph Transactional Coverage Patterns with Applications to Drug Discovery. HiPC (2021)
Manan Goel, Shampa Raghunathan, Siddhartha Laghuvarapu, U. Deva Priyakumar
MoleGuLAR: Molecule Generation Using Reinforcement Learning with Alternating Rewards. J. Chem. Inf. Model. 61 (12) (2021)
Rishal Aggarwal, Akash Gupta, U. Deva Priyakumar
APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design. CoRR (2021)
Yashaswi Pathak, Sarvesh Mehta, U. Deva Priyakumar
Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural Networks. J. Chem. Inf. Model. 61 (2) (2021)
Shanmukh Alle, U. Deva Priyakumar
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait. CoRR (2021)
Shanmukh Alle, U. Deva Priyakumar
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait. MICCAI (5) (2021)
Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. CoRR (2021)
Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. ISBI (2021)
Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar
Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules. AAAI (2020)
Siddhartha Laghuvarapu, Yashaswi Pathak, U. Deva Priyakumar
BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small Molecules. J. Comput. Chem. 41 (8) (2020)
Siladitya Padhi, Siddabattula Ramakrishna, U. Deva Priyakumar
Prediction of the structures of helical membrane proteins based on a minimum unfavorable contacts approach. J. Comput. Chem. 36 (8) (2015)
Chinmayee Choudhury, U. Deva Priyakumar, G. Narahari Sastry
Dynamics Based Pharmacophore Models for Screening Potential Inhibitors of Mycobacterial Cyclopropane Synthase. J. Chem. Inf. Model. 55 (4) (2015)
Elizabeth J. Denning, U. Deva Priyakumar, Lennart Nilsson, Alexander D. MacKerell Jr.
Impact of 2′-hydroxyl sampling on the conformational properties of RNA: Update of the CHARMM all-atom additive force field for RNA. J. Comput. Chem. 32 (9) (2011)