articlePLoS Computational BiologyDec 2, 2015GOLD OA

AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility

Scripps Research Institute

PubMed
Indexed incrossrefdoajpubmed

Abstract

Automated docking of drug-like molecules into receptors is an essential tool in structure-based drug design. While modeling receptor flexibility is important for correctly predicting ligand binding, it still remains challenging. This work focuses on an approach in which receptor flexibility is modeled by explicitly specifying a set of receptor side-chains a-priori. The challenges of this approach include the: 1) exponential growth of the search space, demanding more efficient search methods; and 2) increased number of false positives, calling for scoring functions tailored for flexible receptor docking. We present AutoDockFR-AutoDock for Flexible Receptors (ADFR), a new docking engine based on the AutoDock4…

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669
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9.45
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Authors

5

Topics & keywords

Keywords
  • Docking (animal)
  • AutoDock
  • Protein–ligand docking
  • Searching the conformational space for docking
  • Computational biology
  • Computer science
  • Drug discovery
  • Bioinformatics
UN Sustainable Development Goals
  • Affordable and clean energy
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