Differentiate, multi-dimensional, knowledge-based energy terms for torsion angle probabilities and propensities

El Ad David Amir, Nir Kalisman, Chen Keasar*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Rotatable torsion angles are the major degrees of freedom in proteins. Adjacent angles are highly correlated and energy terms that rely on these correlations are intensively used in molecular modeling. However, the utility of torsion based terms is not yet fully exploited. Many of these terms do not capture the full scale of the correlations. Other terms, which rely on lookup tables, cannot be used in the context of force-driven algorithms because they are not fully differentiable. This study aims to extend the usability of torsion terms by presenting a set of high-dimensional and fully-differentiable energy terms that are derived from high-resolution structures. The set includes terms that describe backbone conformational probabilities and propensities, side-chain rotamer probabilities, and an elaborate term that couples all the torsion angles within the same residue. The terms are constructed by cubic spline interpolation with periodic boundary conditions that enable full differentiability and high computational efficiency. We show that the spline implementation does not compromise the accuracy of the original database statistics. We further show that the side-chain relevant terms are compatible with established rotamer probabilities. Despite their very local characteristics, the new terms are often able to identify native and native-like structures within decoy sets. Finally, force-based minimization of NMR structures with the new terms improves their torsion angle statistics with minor structural distortion (0.5 A RMSD on average). The new terms are freely available in the MESHI molecular modeling package. The spline coefficients are also available as a documented MATLAB file.

Original languageAmerican English
Pages (from-to)62-73
Number of pages12
JournalProteins: Structure, Function and Genetics
Volume72
Issue number1
DOIs
StatePublished - Jul 2008
Externally publishedYes

Keywords

  • Assessment
  • CASP
  • MESHI
  • Optimization
  • Ramachandran plot
  • Refinement
  • Rotamer

Fingerprint

Dive into the research topics of 'Differentiate, multi-dimensional, knowledge-based energy terms for torsion angle probabilities and propensities'. Together they form a unique fingerprint.

Cite this