κ-helix and the helical lock and key model: a pivotal way of looking at polyproline II.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
01 06 2020
01 06 2020
Historique:
received:
31
07
2019
revised:
11
02
2020
accepted:
12
03
2020
pubmed:
15
3
2020
medline:
29
12
2020
entrez:
15
3
2020
Statut:
ppublish
Résumé
Polyproline II (PPII) is a common conformation, comparable to α-helix and β-sheet. PPII, recently termed with a more generic name-κ-helix, adopts a left-handed structure with 3-fold rotational symmetry. Lately, a new type of binding mechanism-the helical lock and key model was introduced in SH3-domain complexes, where the interaction is characterized by a sliding helical pattern. However, whether this binding mechanism is unique only to SH3 domains is unreported. Here, we show that the helical binding pattern is a universal feature of the κ-helix conformation, present within all the major target families-SH3, WW, profilin, MHC-II, EVH1 and GYF domains. Based on a geometric analysis of 255 experimentally solved structures, we found that they are characterized by a distinctive rotational angle along the helical axis. Furthermore, we found that the range of helical pitch varies between different protein domains or peptide orientations and that the interaction is also represented by a rotational displacement mimicking helical motion. The discovery of rotational interactions as a mechanism, reveals a new dimension in the realm of protein-protein interactions, which introduces a new layer of information encoded by the helical conformation. Due to the extensive involvement of the conformation in functional interactions, we anticipate our model to expand the current molecular understanding of the relationship between protein structure and function. We have implemented the proposed methods in an R package freely available at https://github.com/Grantlab/bio3d. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 32170932
pii: 5805383
doi: 10.1093/bioinformatics/btaa186
doi:
Substances chimiques
Peptides
0
Proteins
0
polyproline
25191-13-3
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
3726-3732Informations de copyright
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.