Journal
JOURNAL OF PHYSICAL CHEMISTRY B
Volume 122, Issue 26, Pages 6810-6814Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcb.8b03245
Keywords
-
Categories
Funding
- Fondation pour la Recherche Medicale [DBI20141231319]
- Agence Nationale de la Recherche (ANR) through the LabEx project Chemistry of Complex Systems [CSC-MCE-15]
- International Center for Frontier Research in Chemistry (icFRC)
Ask authors/readers for more resources
Hostguest systems provide excellent models to explore molecular recognition in solution along with relevant technological applications from drug carriers to chemosensors. Here, we present a linear interaction energy (LIE) model to predict the binding affinity in hostguests with remarkable efficiency and predictive power. Using four host families, including cucurbiturils, octa acids, and beta-cyclodextrin, and a large set (49) of chemically diverse guests, we demonstrate that binding-affinity predictions with a root mean square error < 1.5 kcal/mol from experiments can be obtained with a few nanoseconds of molecular dynamics. The parameters of the LIE model are shown to be transferable among hostguest families, and the quality of the predictions is essentially force-field independent. Inclusion of the strain energy of the host in the bound state appears to be critically important to improve the quality of the predictions, particularly when the host and the guest have comparable sizes. Unsuccesful predictions for 28 additional highly charged and bulky guests to cucurbit[7]uril indicate future directions for improvement.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available