Jing Huang
Orcid: 0000-0001-9639-2907Affiliations:
- Westlake Institute for Advanced Study, Institute for Biology, Hangzhou, China
- University of Maryland, School of Pharmacy, Baltimore, USA (former)
- National Institutes of Health, Bethesda, USA (former)
According to our database1,
Jing Huang
authored at least 12 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Constant advance replicas method for locating minimum energy paths and transition states.
J. Comput. Chem., 2023
2022
J. Chem. Inf. Model., 2022
CHARMM-GUI Drude prepper for molecular dynamics simulation using the classical Drude polarizable force field.
J. Comput. Chem., 2022
2020
Predicting partition coefficients of drug-like molecules in the SAMPL6 challenge with Drude polarizable force fields.
J. Comput. Aided Mol. Des., 2020
2018
Molecular dynamics simulations using the drude polarizable force field on GPUs with OpenMM: Implementation, validation, and benchmarks.
J. Comput. Chem., 2018
An explicit-solvent hybrid QM and MM approach for predicting pKa of small molecules in SAMPL6 challenge.
J. Comput. Aided Mol. Des., 2018
2017
Absolute binding free energies for octa-acids and guests in SAMPL5 - Evaluating binding free energies for octa-acid and guest complexes in the SAMPL5 blind challenge.
J. Comput. Aided Mol. Des., 2017
Absolute binding free energy calculations of CBClip host-guest systems in the SAMPL5 blind challenge.
J. Comput. Aided Mol. Des., 2017
2016
DIRECT-ID: An automated method to identify and quantify conformational variations - application to β<sub>2</sub>-adrenergic GPCR.
J. Comput. Chem., 2016
Calculating distribution coefficients based on multi-scale free energy simulations: an evaluation of MM and QM/MM explicit solvent simulations of water-cyclohexane transfer in the SAMPL5 challenge.
J. Comput. Aided Mol. Des., 2016
2013
CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data.
J. Comput. Chem., 2013