Unknown

Dataset Information

0

Using the COREX/BEST server to model the native-state ensemble.


ABSTRACT: Protein structures under normal conditions exist as ensembles of interconverting, transient microstates. A computer algorithm known as COREX/BEST (Biology using Ensemble-based Structural Thermodynamics) was developed to model microstate structures and describe the native ensembles of proteins in statistical thermodynamic terms. This algorithm has been tested extensively and validated through experimental comparisons examining a range of biophysical and functional phenomena, such as structural cooperativity, pH-dependent stability, and cold denaturation. Here, we describe a Web-based implementation of the COREX/BEST algorithm, called the COREX/BEST Server, and demonstrate how to use this online resource to characterize the structural and thermodynamic properties of the native protein ensemble.

SUBMITTER: Hilser VJ 

PROVIDER: S-EPMC8785428 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

altmetric image

Publications

Using the COREX/BEST server to model the native-state ensemble.

Hilser Vincent J VJ   Whitten Steven T ST  

Methods in molecular biology (Clifton, N.J.) 20140101


Protein structures under normal conditions exist as ensembles of interconverting, transient microstates. A computer algorithm known as COREX/BEST (Biology using Ensemble-based Structural Thermodynamics) was developed to model microstate structures and describe the native ensembles of proteins in statistical thermodynamic terms. This algorithm has been tested extensively and validated through experimental comparisons examining a range of biophysical and functional phenomena, such as structural co  ...[more]

Similar Datasets

| S-EPMC6035720 | biostudies-literature
| S-EPMC2599834 | biostudies-literature
| S-EPMC8715216 | biostudies-literature
| S-EPMC3329124 | biostudies-literature
| S-EPMC2374190 | biostudies-literature
| S-EPMC5941179 | biostudies-literature
| S-EPMC2242571 | biostudies-literature
| S-EPMC8040857 | biostudies-literature
| S-EPMC4811355 | biostudies-literature
| S-EPMC9943838 | biostudies-literature