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Building a More Predictive Protein Force Field: A Systematic and Reproducible Route to AMBER-FB15.

Authors :
Wang, Lee-Ping
Wang, Lee-Ping
McKiernan, Keri A
Gomes, Joseph
Beauchamp, Kyle A
Head-Gordon, Teresa
Rice, Julia E
Swope, William C
Martínez, Todd J
Pande, Vijay S
Wang, Lee-Ping
Wang, Lee-Ping
McKiernan, Keri A
Gomes, Joseph
Beauchamp, Kyle A
Head-Gordon, Teresa
Rice, Julia E
Swope, William C
Martínez, Todd J
Pande, Vijay S
Source :
The journal of physical chemistry. B; vol 121, iss 16, 4023-4039; 1520-6106
Publication Year :
2017

Abstract

The increasing availability of high-quality experimental data and first-principles calculations creates opportunities for developing more accurate empirical force fields for simulation of proteins. We developed the AMBER-FB15 protein force field by building a high-quality quantum chemical data set consisting of comprehensive potential energy scans and employing the ForceBalance software package for parameter optimization. The optimized potential surface allows for more significant thermodynamic fluctuations away from local minima. In validation studies where simulation results are compared to experimental measurements, AMBER-FB15 in combination with the updated TIP3P-FB water model predicts equilibrium properties with equivalent accuracy, and temperature dependent properties with significantly improved accuracy, in comparison with published models. We also discuss the effect of changing the protein force field and water model on the simulation results.

Details

Database :
OAIster
Journal :
The journal of physical chemistry. B; vol 121, iss 16, 4023-4039; 1520-6106
Notes :
application/pdf, The journal of physical chemistry. B vol 121, iss 16, 4023-4039 1520-6106
Publication Type :
Electronic Resource
Accession number :
edsoai.on1287397430
Document Type :
Electronic Resource