Cited by 7NF-κB Signaling PathwaysChemical Synthesis and AnalysisProtein Structure and Dynamics

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Molecular determinants of TRAF6 binding specificity suggest that native interaction partners are not optimized for affinity

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Published version of a preprint

Abstract

TRAF6 is an adaptor protein involved in signaling pathways that are essential for development and the immune system. It participates in many protein–protein interactions, some of which are mediated by the C‐terminal MATH domain, which binds to short peptide segments containing the motif PxExx[FYWHDE], where x is any amino acid. Blocking MATH domain interactions is associated with favorable effects in various disease models. To better define TRAF6 MATH domain binding preferences, we screened a combinatorial library using bacterial cell‐surface peptide display. We identified 236 of the best TRAF6‐interacting peptides and a set of 1,200 peptides that match the sequence PxE but do not bind TRAF6 MATH. The peptides that were most enriched in the screen bound TRAF6 tighter than previously measured native peptides. To better understand the structural basis for TRAF6 interaction preferences, we built all‐atom structural models of the MATH domain in complex with high‐affinity binders and nonbinders identified in the screen. We identified favorable interactions for motif features in binders as well as negative design elements distributed across the motif that can disfavor or preclude binding. Searching the human proteome revealed that the most biologically relevant TRAF6 motif matches occupy a different sequence space from the best hits discovered in combinatorial library screening, suggesting that native interactions are not optimized for affinity. Our experimentally determined binding preferences and structural models support the design of peptide‐based interaction inhibitors with higher affinities than endogenous TRAF6 ligands.

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Metadata

Authors
Halpin, J. C., Whitney, D., Rigoldi, F., Sivaraman, V., Singer, A., & Keating, A. E.
Affiliations
  • Massachusetts Institute of Technology (US)
  • Koch Institute for Integrative Cancer Research At MIT (US)
Corresponding author
Keating, Amy E.
Venue
Protein Science
Publisher
Wiley
Published
2022-10-26
Volume
31
Issue
11
Pages
e4429-e4429
ISSN
  • 0961-8368 (ISSN-L)
  • 1469-896X
OpenAlex
W4307845388
Cited by
7
References
6
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 1
FWCI
0.63
Type
journal article
Language
en
Open access
Locations
  • Protein Science (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Funders
  • National Cancer Institute (P30‐CA14051)
  • Center for Outcomes Research and Evaluation, Yale School of Medicine
  • National Institutes of Health
  • National Institute of General Medical Sciences (5R01GM129007, F32GM114959, F32GM137510, T32GM007287)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › NF-κB Signaling Pathways
  • Physical Sciences › Chemistry › Organic Chemistry › Chemical Synthesis and Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
Keywords
TRAF6, MATH domain, protein-protein interaction, binding specificity, combinatorial peptide libraries, structural modeling, adaptor proteins
MeSH terms
Amino Acid Sequence, Humans, Models, Molecular, Peptides, Protein Binding, TNF Receptor-Associated Factor 6

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