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FlexE: Using Elastic network models to compare models of protein structure

  • Stony Brook University
  • University of Pittsburgh

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

It is often valuable to compare protein structures to determine how similar they are. Structure comparison methods such as RMSD and GDT-TS are based solely on fixed geometry and do not take into account the intrinsic flexibility or energy landscape of the protein. We propose a method, which we call FlexE, that is based on a simple elastic network model and uses the deformation energy as measure of the similarity between two structures. FlexE can distinguish biologically relevant conformational changes from random changes, while existing geometry-based methods cannot. Additionally, FlexE incorporates the concept of thermal energy, which provides a rational way to determine when two models are "the same". FlexE provides a unique measure of the similarity between protein structures that is complementary to existing methods.

Original languageEnglish
Pages (from-to)3985-3991
Number of pages7
JournalJournal of Chemical Theory and Computation
Volume8
Issue number10
DOIs
StatePublished - Oct 9 2012

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