Dynamical important residue network (DIRN): network inference via conformational change.

ABSTRACT:

Motivation

Protein residue interaction network has emerged as a useful strategy to understand the complex relationship between protein structures and functions and how functions are regulated. In a residue interaction network, every residue is used to define a network node, adding noises in network post-analysis and increasing computational burden. In addition, dynamical information is often necessary in deciphering biological functions.

Results

We developed a robust and efficient protein residue interaction network method, termed dynamical important residue network, by combining both structural and dynamical information. A major departure from previous approaches is our attempt to identify important residues most important for functional regulation before a network is const

SUBMITTER: Li Q 

PROVIDER: S-EPMC6853687 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature