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π Iβm currently working on machine learning-based transition state optimization. The animation shown above depicts one of the reactions I calculated the transition states for. For non-chemists, the problem here is to find a saddle point in a 42-dimensional space.
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π― Iβm looking to collaborate on a drug discovery-related project that uses machine learning-based potential to incorporate kinetic effects.
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π¨βπ» Most of my projects are available at https://github.com/kumaranu but some are not public due to proprietary issues.
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π« You can reach out to me via [email protected].
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π Know about my experiences by checking out my resume.
Postdoc in computational chemistry
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Lawrence Berkeley National Lab
- Berkeley
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18:20
(UTC -07:00) - in/anup-kumar-0abba445
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lag_opt_ts
lag_opt_ts PublicA program to perform transition state and geometry optimization calculations
Python
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quacc_tests
quacc_tests PublicThis repository contains wrapper scripts for running transition state and IRC (Intrinsic Reaction Coordinate) calculations using Sella and IRC ASE optimizers for the Sella package.
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DrugDiscMDConformers
DrugDiscMDConformers PublicA python package to generate conformers for small molecules using molecular dynamics.
Python
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MolecularDockingKit
MolecularDockingKit PublicThis package facilitates molecular docking simulations aimed at analyzing interactions between a target biological system and a collection of potential drug molecules. By leveraging computational aβ¦
Python 1
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