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18 results in Authors: U Deva Priyakumar

Theoretical and Computational Chemistry

Working Paper

Machine Learning for Accurate Force Calculations in Molecular Dynamics Simulations

Punyaslok Pattnaik, Shampa Raghunathan, Tarun Kalluri, Prabhakar Bhimalapuram, C. V. Jawahar, U. Deva Priyakumar

Version 1 posted 08 May 2020

1,142

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Theoretical and Computational Chemistry

Working Paper

DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks

Rishal Aggarwal, Akash Gupta, Vineeth Chelur, C. V. Jawahar, U. Deva Priyakumar

Version 2 posted 15 July 2021

2,123

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Theoretical and Computational Chemistry

Working Paper

BAND NN: A Deep Learning Framework For Energy Prediction and Geometry Optimization of Organic Small Molecules

Siddhartha Laghuvarapu, Yashaswi Pathak, U. Deva Priyakumar

Version 1 posted 06 September 2019

1,255

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Biological and Medicinal Chemistry

Working Paper

SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation

Yashas Samaga B L, Shampa Raghunathan, U. Deva Priyakumar

Version 1 posted 04 June 2021

762

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Citations

Theoretical and Computational Chemistry

Working Paper

Transition between [R]- and [S]-Stereoisomers without Bond Breaking

Shampa Raghunathan, Komal Yadav, V. C. Rojisha, Tanashree Jaganade, V. Prathyusha, Swetha Bikkina, Upakarasamy Lourderaj, U. Deva Priyakumar

Version 2 posted 01 June 2020

880

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Theoretical and Computational Chemistry

Working Paper

Deep Learning Enabled Inorganic Material Generator

Yashaswi Pathak, Karandeep Singh Juneja, Girish Varma, Masahiro Ehara, U. Deva Priyakumar

Version 1 posted 18 May 2020

1,786

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Theoretical and Computational Chemistry

Working Paper

MEMES: Machine learning framework for Enhanced MolEcular Screening

Sarvesh Mehta, Siddhartha Laghuvarapu, Yashaswi Pathak, Aaftaab Sethi, Mallika Alvala, U. Deva Priyakumar

Version 2 posted 15 July 2021

939

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Theoretical and Computational Chemistry

Working Paper

MolOpt: Autonomous Molecular Geometry Optimization using Multi-Agent Reinforcement Learning

Rohit Modee, Sarvesh Mehta, Siddhartha Laghuvarapu, U. Deva Priyakumar

Version 1 posted 24 August 2023

282

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Theoretical and Computational Chemistry

Working Paper

LigGPT: Molecular Generation using a Transformer-Decoder Model

Viraj Bagal, Rishal Aggarwal, P. K. Vinod, U. Deva Priyakumar

Version 1 posted 11 May 2021

3,767

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Citations

Theoretical and Computational Chemistry

Working Paper

DART: Deep Learning Enabled Topological Interaction Model for Energy Prediction of Metal Clusters and its Application in Identifying Unique Low Energy Isomers

Rohit Modee, Sheena Agarwal, Ashwini Verma, Kavita Joshi, U. Deva Priyakumar

Version 1 posted 26 May 2021

389

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18 results in U Deva Priyakumar in Authors: U Deva Priyakumar

Machine Learning for Accurate Force Calculations in Molecular Dynamics Simulations

DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks

BAND NN: A Deep Learning Framework For Energy Prediction and Geometry Optimization of Organic Small Molecules

SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation

Transition between [R]- and [S]-Stereoisomers without Bond Breaking

Deep Learning Enabled Inorganic Material Generator

MEMES: Machine learning framework for Enhanced MolEcular Screening

MolOpt: Autonomous Molecular Geometry Optimization using Multi-Agent Reinforcement Learning

LigGPT: Molecular Generation using a Transformer-Decoder Model

DART: Deep Learning Enabled Topological Interaction Model for Energy Prediction of Metal Clusters and its Application in Identifying Unique Low Energy Isomers

18 results in Authors: U Deva Priyakumar