z-logo
open-access-imgOpen Access
Proteome‐scale mapping of binding sites in the unstructured regions of the human proteome
Author(s) -
Benz Caroline,
Ali Muhammad,
Krystkowiak Izabella,
Simonetti Leandro,
Sayadi Ahmed,
Mihalic Filip,
Kliche Johanna,
Andersson Eva,
Jemth Per,
Davey Norman E,
Ivarsson Ylva
Publication year - 2022
Publication title -
molecular systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.523
H-Index - 148
ISSN - 1744-4292
DOI - 10.15252/msb.202110584
Subject(s) - library science , computer science
Specific protein–protein interactions are central to all processes that underlie cell physiology. Numerous studies have together identified hundreds of thousands of human protein–protein interactions. However, many interactions remain to be discovered, and low affinity, conditional, and cell type‐specific interactions are likely to be disproportionately underrepresented. Here, we describe an optimized proteomic peptide‐phage display library that tiles all disordered regions of the human proteome and allows the screening of ~ 1,000,000 overlapping peptides in a single binding assay. We define guidelines for processing, filtering, and ranking the results and provide PepTools, a toolkit to annotate the identified hits. We uncovered >2,000 interaction pairs for 35 known short linear motif (SLiM)‐binding domains and confirmed the quality of the produced data by complementary biophysical or cell‐based assays. Finally, we show how the amino acid resolution‐binding site information can be used to pinpoint functionally important disease mutations and phosphorylation events in intrinsically disordered regions of the proteome. The optimized human disorderome library paired with PepTools represents a powerful pipeline for unbiased proteome‐wide discovery of SLiM‐based interactions.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here