Medical College of Wisconsin
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A practical implicit solvent potential for NMR structure calculation. J Magn Reson 2014 Jun;243:54-64

Date

04/22/2014

Pubmed ID

24747742

Pubmed Central ID

PMC4037354

DOI

10.1016/j.jmr.2014.03.011

Scopus ID

2-s2.0-84898953449 (requires institutional sign-in at Scopus site)   38 Citations

Abstract

The benefits of protein structure refinement in water are well documented. However, performing structure refinement with explicit atomic representation of the solvent molecules is computationally expensive and impractical for NMR-restrained structure calculations that start from completely extended polypeptide templates. Here we describe a new implicit solvation potential, EEFx (Effective Energy Function for XPLOR-NIH), for NMR-restrained structure calculations of proteins in XPLOR-NIH. The key components of EEFx are an energy term for solvation energy that works together with other nonbonded energy functions, and a dedicated force field for conformational and nonbonded protein interaction parameters. The initial results obtained with EEFx show that significant improvements in structural quality can be obtained. EEFx is computationally efficient and can be used both to fold and refine structures. Overall, EEFx improves the quality of protein conformation and nonbonded atomic interactions. Moreover, such benefits are accompanied by enhanced structural precision and enhanced structural accuracy, reflected in improved agreement with the cross-validated dipolar coupling data. Finally, implementation of EEFx calculations is straightforward and computationally efficient. Overall, EEFx provides a useful method for the practical calculation of experimental protein structures in a physically realistic environment.

Author List

Tian Y, Schwieters CD, Opella SJ, Marassi FM

Author

Francesca M. Marassi PhD Chair, Professor in the Biophysics department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Algorithms
Amino Acid Sequence
Computer Simulation
Magnetic Resonance Spectroscopy
Models, Chemical
Models, Molecular
Molecular Sequence Data
Protein Conformation
Proteins
Solvents
Water