Using Spectral Representation to Classify Proteins' Conformational States.

ABSTRACT: Numerous proteins are molecular targets for drug action and hence are important in drug discovery. Structure-based computational drug discovery relies on detailed information regarding protein conformations for subsequent drug screening in silico. There are two key issues in analyzing protein conformations in virtual screening. The first considers the protein's conformational change in response to physical and chemical conditions. The second is the protein's atomic resolution reconstruction from X-ray crystallography or nuclear magnetic resonance (NMR) data. In this latter problem, information is needed regarding the sample's position relative to the source of X-rays. Here, we introduce a new measure for classifying protein conformational states using spectral representation and Wigner's D

SUBMITTER: Saberi Fathi SM 

PROVIDER: S-EPMC6073521 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature