Relative Binding Free Energy Calculations in Drug Discovery: Recent Advances and Practical Considerations
Academy of Athens · Silicon Therapeutics (United States)
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…
Citation impact
- FWCI
- 40.90
- Percentile
- 100%
- References
- 223
Authors
3Topics & keywords
- Computer science
- Drug discovery
- Virtual screening
- Context (archaeology)
- Data science
- Binding affinities
- Bioinformatics
- Chemistry
- Industry, innovation and infrastructure