| Literature DB >> 31188006 |
Riccardo Capelli1,2, Paolo Carloni1,3, Michele Parrinello4,5,6.
Abstract
Determining the complete set of ligands' binding-unbinding pathways is important for drug discovery and for rational interpretation of mutation data. Here we have developed a metadynamics-based technique that addresses this issue and allows estimating affinities in the presence of multiple escape pathways. Our approach is shown on a lysozyme T4 variant in complex with a benzene molecule. The calculated binding free energy is in agreement with experimental data. Remarkably, not only were we able to find all the previously identified ligand binding pathways, but also we identified three pathways previously not identified as such. These results were obtained at a small computational cost, making this approach valuable for practical applications, such as screening of small compound libraries.Entities:
Year: 2019 PMID: 31188006 DOI: 10.1021/acs.jpclett.9b01183
Source DB: PubMed Journal: J Phys Chem Lett ISSN: 1948-7185 Impact factor: 6.475