Campus Units

Biochemistry, Biophysics and Molecular Biology, Roy J. Carver Department of, Baker Center for Bioinformatics and Biological Statistics

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

11-15-2009

Journal or Book Title

Proteins: Structure, Function, and Bioinformatics

Volume

77

Issue

3

First Page

551

Last Page

558

DOI

10.1002/prot.22467

Abstract

The elastic network interpolation (ENI)1 is a computationally efficient and physically realistic method to generate conformational transition intermediates between two forms of a given protein. However it can be asked whether these calculated conformations provide good representatives for these intermediates. In this study, we use ENI to generate conformational transition intermediates between the open form and the closed forms of adenylate kinase (AK). Based on Cα-only intermediates, we construct atomic intermediates by grafting all the atoms of known AK structures onto the Cα atoms and then perform CHARMM energy minimization to remove steric conflicts and optimize these intermediate structures. We compare the energy profiles for all intermediates from both the CHARMM force-field and from knowledge-based energy functions. We find that the CHARMM energies can successfully capture the two energy minima representing the open AK and closed AK forms, while the energies computed from the knowledge-based energy functions can detect the local energy minimum representing the closed AK form and show some general features of the transition pathway with a somewhat similar energy profile as the CHARMM energies. The combinatorial extension (CE) structural alignment2 and the k-means clustering algorithm are then used to show that known PDB structures closely resemble computed intermediates along the transition pathway.

Comments

This is the peer reviewed version of the following article: Feng, Yaping, Lei Yang, Andrzej Kloczkowski, and Robert L. Jernigan. "The energy profiles of atomic conformational transition intermediates of adenylate kinase." Proteins: Structure, Function, and Bioinformatics 77, no. 3 (2009): 551-558, which has been published in final form at DOI: 10.1002/prot.22467. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

Copyright Owner

Wiley-Liss, Inc.

Language

en

File Format

application/pdf