Unknown

Dataset Information

0

One- and two-body decomposable Poisson-Boltzmann methods for protein design calculations.


ABSTRACT: Successfully modeling electrostatic interactions is one of the key factors required for the computational design of proteins with desired physical, chemical, and biological properties. In this paper, we present formulations of the finite difference Poisson-Boltzmann (FDPB) model that are pairwise decomposable by side chain. These methods use reduced representations of the protein structure based on the backbone and one or two side chains in order to approximate the dielectric environment in and around the protein. For the desolvation of polar side chains, the two-body model has a 0.64 kcal/mol RMSD compared to FDPB calculations performed using the full representation of the protein structure. Screened Coulombic interaction energies between side chains are approximated with an RMSD of 0.13 kcal/mol. The methods presented here are compatible with the computational demands of protein design calculations and produce energies that are very similar to the results of traditional FDPB calculations.

SUBMITTER: Marshall SA 

PROVIDER: S-EPMC2253281 | biostudies-literature | 2005 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

One- and two-body decomposable Poisson-Boltzmann methods for protein design calculations.

Marshall Shannon A SA   Vizcarra Christina L CL   Mayo Stephen L SL  

Protein science : a publication of the Protein Society 20050331 5


Successfully modeling electrostatic interactions is one of the key factors required for the computational design of proteins with desired physical, chemical, and biological properties. In this paper, we present formulations of the finite difference Poisson-Boltzmann (FDPB) model that are pairwise decomposable by side chain. These methods use reduced representations of the protein structure based on the backbone and one or two side chains in order to approximate the dielectric environment in and  ...[more]

Similar Datasets

| S-EPMC3538373 | biostudies-literature
| S-EPMC1861767 | biostudies-literature
| S-EPMC3505068 | biostudies-literature
| S-EPMC5844473 | biostudies-literature
| S-EPMC7194241 | biostudies-literature
| S-EPMC3143316 | biostudies-literature
| S-EPMC4280115 | biostudies-other
| S-EPMC3122111 | biostudies-literature
| S-EPMC6422926 | biostudies-literature