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Liron Gat Kahlon

dblp:243/3311 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein analysis
protein-protein interaction
0.412020
A helical lock and key model of polyproline II conformation with SH3 · Bioinform. 2020
Bioinformatics and computational biology › structural biology
protein structure and function
0.412020
A helical lock and key model of polyproline II conformation with SH3 · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

structural analysis · 0.4geometric analysis · 0.4
YearPublicationVenuePosition
2020 A helical lock and key model of polyproline II conformation with SH3
abstract
MOTIVATION: More than half of the human proteome contains the proline-rich motif, PxxP. This motif has a high propensity for adopting a left-handed polyproline II (PPII) helix and can potentially bind SH3 domains. SH3 domains are generally grouped into two classes, based on whether the PPII binds in a positive (N-to-C terminal) or negative (C-to-N terminal) orientation. Since the discovery of this structural motif, over six decades ago, a systematic understanding of its binding remains poor and the consensus amino acid sequence that binds SH3 domains is still ill defined. RESULTS: Here, we show that the PPII interaction with SH3 domains is governed by the helix backbone and its prolines, and their rotation angle around the PPII helical axis. Based on a geometric analysis of 131 experimentally solved SH3 domains in complex with PPIIs, we observed a rotary translation along the helical screw axis, and separated them by 120° into three categories we name α (0-120°), β (120-240°) and γ (240-360°). Furthermore, we found that PPII helices are distinguished by a shifting PxxP motif preceded by positively charged residues which act as a structural reading frame and dictates the organization of SH3 domains; however, there is no one single consensus motif for all classified PPIIs. Our results demonstrate a remarkable apparatus of a lock with a rotating and translating key with no known equivalent machinery in molecular biology. We anticipate our model to be a starting point for deciphering the PPII code, which can unlock an exponential growth in our understanding of the relationship between protein structure and function. AVAILABILITY AND IMPLEMENTATION: We have implemented the proposed methods in the R software environment and in an R package freely available at https://github.com/Grantlab/bio3d. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Tomer Meirson, David Bomze, Liron Gat Kahlon, Hava Gil-Henn, Abraham O. Samson
Bioinform.3