A minimalist network model for coarse-grained normal mode analysis and its application to biomolecular x-ray crystallography

Proc Natl Acad Sci U S A. 2008 Oct 7;105(40):15358-63. doi: 10.1073/pnas.0806072105. Epub 2008 Oct 1.

Abstract

In this article, we report a method for coarse-grained normal mode analysis called the minimalist network model. The main features of the method are that it can deliver accurate low-frequency modes on structures without undergoing initial energy minimization and that it also retains the details of molecular interactions. The method does not require any additional adjustable parameters after coarse graining and is computationally very fast. Tests on modeling the experimentally measured anisotropic displacement parameters in biomolecular x-ray crystallography demonstrate that the method can consistently perform better than other commonly used methods including our own one. We expect this method to be effective for applications such as structural refinement and conformational sampling.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Crystallography, X-Ray*
  • Neural Networks, Computer*
  • Protein Conformation
  • Proteins / chemistry*
  • Thermodynamics

Substances

  • Proteins