Skip to main navigation Skip to search Skip to main content

Focused grid-based resampling for protein docking and mapping

  • Artem B. Mamonov
  • , Mohammad Moghadasi
  • , Hanieh Mirzaei
  • , Shahrooz Zarbafian
  • , Laurie E. Grove
  • , Tanggis Bohnuud
  • , Pirooz Vakili
  • , Ioannis Ch Paschalidis
  • , Sandor Vajda
  • , Dima Kozakov
  • Boston University
  • Wentworth Institute of Technology

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The fast Fourier transform (FFT) sampling algorithm has been used with success in application to protein-protein docking and for protein mapping, the latter docking a variety of small organic molecules for the identification of binding hot spots on the target protein. Here we explore the local rather than global usage of the FFT sampling approach in docking applications. If the global FFT based search yields a near-native cluster of docked structures for a protein complex, then focused resampling of the cluster generally leads to a substantial increase in the number of conformations close to the native structure. In protein mapping, focused resampling of the selected hot spot regions generally reveals further hot spots that, while not as strong as the primary hot spots, also contribute to ligand binding. The detection of additional ligand binding regions is shown by the improved overlap between hot spots and bound ligands.

Original languageEnglish
Pages (from-to)961-970
Number of pages10
JournalJournal of Computational Chemistry
Volume37
Issue number11
DOIs
StatePublished - Apr 30 2016

Keywords

  • binding hot spots
  • fast Fourier transform
  • protein mapping
  • protein-protein docking
  • systematic sampling

Fingerprint

Dive into the research topics of 'Focused grid-based resampling for protein docking and mapping'. Together they form a unique fingerprint.

Cite this