Order in Disorder as Observed by the "Hydrophobic Cluster Analysis" of Protein Sequences.

Proteomics

Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie (IMPMC), Institut de recherche pour le développement (IRD), UMR CNRS 7590, Muséum National d'Histoire Naturelle, Sorbonne Université, 75005, Paris, France.

Published: November 2018

Hydrophobic cluster analysis (HCA) is an original approach for protein sequence analysis, which provides access to the foldable repertoire of the protein universe, including yet unannotated protein segments ("dark proteome"). Foldable segments correspond to ordered regions, as well as to intrinsically disordered regions (IDRs) undergoing disorder to order transitions. In this review, how HCA can be used to give insight into this last category of foldable segments is illustrated, with examples matching known 3D structures. After reviewing the HCA principles, examples of short foldable segments are given, which often contain short linear motifs, typically matching hydrophobic clusters. These segments become ordered upon contact with partners, with secondary structure preferences generally corresponding to those observed in the 3D structures within the complexes. Such small foldable segments are sometimes larger than the segments of known 3D structures, including flanking hydrophobic clusters that may be critical for interaction specificity or regulation, as well as intervening sequences allowing fuzziness. Cases of larger conditionally disordered domains are also presented, with lower density in hydrophobic clusters than well-folded globular domains or with exposed hydrophobic patches, which are stabilized by interaction with partners.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168002PMC
http://dx.doi.org/10.1002/pmic.201800054DOI Listing

Publication Analysis

Top Keywords

foldable segments
16
hydrophobic clusters
12
segments
7
hydrophobic
5
foldable
5
order disorder
4
disorder observed
4
observed "hydrophobic
4
"hydrophobic cluster
4
cluster analysis"
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!