articleJournal of Chemical Information and ModelingDec 15, 2017HYBRID OA

Relative Binding Free Energy Calculations in Drug Discovery: Recent Advances and Practical Considerations

Academy of Athens · Silicon Therapeutics (United States)

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Abstract

Accurate in silico prediction of protein-ligand binding affinities has been a primary objective of structure-based drug design for decades due to the putative value it would bring to the drug discovery process. However, computational methods have historically failed to deliver value in real-world drug discovery applications due to a variety of scientific, technical, and practical challenges. Recently, a family of approaches commonly referred to as relative binding free energy (RBFE) calculations, which rely on physics-based molecular simulations and statistical mechanics, have shown promise in reliably generating accurate predictions in the context of drug discovery projects. This advance arises from…

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Authors

3

Topics & keywords

Keywords
  • Computer science
  • Drug discovery
  • Virtual screening
  • Context (archaeology)
  • Data science
  • Binding affinities
  • Bioinformatics
  • Chemistry
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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