Random network behaviour of protein structures.

Mol Biosyst

Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712, USA.

Published: February 2010

Geometric and structural constraints greatly restrict the selection of folds adapted by protein backbones, and yet, folded proteins show an astounding diversity in functionality. For structure to have any bearing on function, it is thus imperative that, apart from the protein backbone, other tunable degrees of freedom be accountable. Here, we focus on side-chain interactions, which non-covalently link amino acids in folded proteins to form a network structure. At a coarse-grained level, we show that the network conforms remarkably well to realizations of random graphs and displays associated percolation behavior. Thus, within the rigid framework of the protein backbone that restricts the structure space, the side-chain interactions exhibit an element of randomness, which account for the functional flexibility and diversity shown by proteins. However, at a finer level, the network exhibits deviations from these random graphs which, as we demonstrate for a few specific examples, reflect the intrinsic uniqueness in the structure and stability, and perhaps specificity in the functioning of biological proteins.

Download full-text PDF

Source
http://dx.doi.org/10.1039/b903019kDOI Listing

Publication Analysis

Top Keywords

folded proteins
8
protein backbone
8
side-chain interactions
8
level network
8
random graphs
8
random network
4
network behaviour
4
protein
4
behaviour protein
4
protein structures
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!