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Current Opinion in Structural Biology|January 30, 2025
Modern machine learning methods for protein property predictionArjun Dosajh, Prakul Agrawal, Prathit Chatterjee, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|November 28, 2013
Solvent-induced helical assembly and reversible chiroptical switching of chiral cyclic-dipeptide-functionalized naphthalenediimidesShivaprasad Manchineella, V Prathyusha, U Deva Priyakumar, et al.
Journal of Chemical Information and Modeling|December 6, 2021
MoleGuLAR: Molecule Generation Using Reinforcement Learning with Alternating RewardsManan Goel, Shampa Raghunathan, Siddhartha Laghuvarapu, et al.
The Journal of Physical Chemistry Letters|May 31, 2022
Deep Reinforcement Learning for Molecular Inverse Problem of Nuclear Magnetic Resonance Spectra to Molecular StructureBhuvanesh Sridharan, Sarvesh Mehta, Yashaswi Pathak, et al.
ACS Omega|January 23, 2023
Latent Biases in Machine Learning Models for Predicting Binding Affinities Using Popular Data SetsGanesh Chandan Kanakala, Rishal Aggarwal, Divya Nayar, et al.
Journal of the American Chemical Society|November 19, 2009
Urea destabilizes RNA by forming stacking interactions and multiple hydrogen bonds with nucleic acid basesU Deva Priyakumar, Changbong Hyeon, D Thirumalai, et al.
Heliyon|February 23, 2023
PREHOST: Host prediction of coronaviridae family using machine learningAnusha Chaturvedi, Kushal Borkar, U Deva Priyakumar, et al.
Scientific Reports|June 21, 2019
Energetic, Structural and Dynamic Properties of Nucleobase-Urea Interactions that Aid in Urea Assisted RNA UnfoldingTanashree Jaganade, Aditya Chattopadhyay, Nila M Pazhayam, et al.
Journal of Chemical Theory and Computation|May 24, 2018
A Probabilistic Framework for Constructing Temporal Relations in Replica Exchange Molecular TrajectoriesAditya Chattopadhyay, Min Zheng, Mark P Waller, et al.
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