Ontology highlight
ABSTRACT:
SUBMITTER: Zhang Y
PROVIDER: S-EPMC7737999 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Zhang Yuqi Y Sanner Michel F MF
Journal of chemical theory and computation 20190917 10
While a new therapeutic cyclic peptide is approved nearly every year, docking large macrocycles has remained challenging. Here, we present a new version of our peptide docking software <i>AutoDock CrankPep</i> (<i>ADCP</i>), extended to dock peptides cyclized through their backbone and/or side chain disulfide bonds. We show that within the top 10 solutions, <i>ADCP</i> identifies the proper interactions for 71% of a data set of 38 complexes, thus making it a useful tool for rational peptide-base ...[more]