Login

Journal Image
Current Protein & Peptide Science
ISSN (Print): 1389-2037
ISSN (Online): 1875-5550
VOLUME: 13
ISSUE: 1
DOI: 10.2174/138920312799277992









Disordered Proteins and Network Disorder in Network Descriptions of Protein Structure, Dynamics and Function: Hypotheses and a Comprehensive Review

img
Author(s): Peter Csermely, Kuljeet Singh Sandhu, Eszter Hazai, Zsolt Hoksza, Huba J.M. Kiss, Federico Miozzo, Daniel V. Veres, Francesco Piazza and Ruth Nussinov
Pages 19-33 (15)
Abstract:
During the last decade, network approaches became a powerful tool to describe protein structure and dynamics. Here we review the links between disordered proteins and the associated networks, and describe the consequences of local, mesoscopic and global network disorder on changes in protein structure and dynamics. We introduce a new classification of protein networks into ‘cumulus-type’, i.e., those similar to puffy (white) clouds, and ‘stratus-type’, i.e., those similar to flat, dense (dark) low-lying clouds, and relate these network types to protein disorder dynamics and to differences in energy transmission processes. In the first class, there is limited overlap between the modules, which implies higher rigidity of the individual units; there the conformational changes can be described by an ‘energy transfer’ mechanism. In the second class, the topology presents a compact structure with significant overlap between the modules; there the conformational changes can be described by ‘multi-trajectories’; that is, multiple highly populated pathways. We further propose that disordered protein regions evolved to help other protein segments reach ‘rarely visited’ but functionally-related states. We also show the role of disorder in ‘spatial games’ of amino acids; highlight the effects of intrinsically disordered proteins (IDPs) on cellular networks and list some possible studies linking protein disorder and protein structure networks
Keywords:
Assortativity, clustering, entropy, interactome, intrinsically disordered proteins, signaling, soliton, symmetry, stratus-type networks, logarithmically
Affiliation:
Department of Medical Chemistry, Semmelweis University, H-1444 Budapest, P. O. Box 260, Hungary.