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Protein–ligand docking using FFT based sampling: D3R case study

  • Dzmitry Padhorny
  • , David R. Hall
  • , Hanieh Mirzaei
  • , Artem B. Mamonov
  • , Mohammad Moghadasi
  • , Andrey Alekseenko
  • , Dmitri Beglov
  • , Dima Kozakov
  • Stony Brook University
  • Acpharis Inc.
  • Boston University
  • Moscow Institute of Physics and Technology
  • Russian Academy of Sciences

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Fast Fourier transform (FFT) based approaches have been successful in application to modeling of relatively rigid protein–protein complexes. Recently, we have been able to adapt the FFT methodology to treatment of flexible protein–peptide interactions. Here, we report our latest attempt to expand the capabilities of the FFT approach to treatment of flexible protein–ligand interactions in application to the D3R PL-2016-1 challenge. Based on the D3R assessment, our FFT approach in conjunction with Monte Carlo minimization off-grid refinement was among the top performing methods in the challenge. The potential advantage of our method is its ability to globally sample the protein–ligand interaction landscape, which will be explored in further applications.

Original languageEnglish
Pages (from-to)225-230
Number of pages6
JournalJournal of Computer-Aided Molecular Design
Volume32
Issue number1
DOIs
StatePublished - Jan 1 2018

Keywords

  • D3R
  • Drug design data resource
  • FFT sampling
  • Protein ligand docking

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