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

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

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Preprint — published as 10.1002/pro.4429 · Paper page

Abstract

TRAF6 is an adapter protein and E3 ubiquitin ligase involved in signaling downstream of cell receptors essential for development and the immune system. TRAF6 participates in many protein-protein interactions, some of which are mediated by a C-terminal MATH domain that recruits TRAF6 to cell-surface receptors and associated proteins. The TRAF6 MATH domain binds to short peptide segments containing the motif PxExx[FYWHDE], where x is any amino acid. Blocking TRAF6 interactions is associated with favorable effects in various disease models. To better define the TRAF6 MATH domain binding preferences, we generated a bacterial cell-surface peptide display library to sample the TRAF6 motif sequence space. We performed sorting experiments and 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. Selected binders, tested by single-clone bacterial display titrations and bio-layer interferometry, bound TRAF6 tighter than previously measured native peptides. To elucidate the structural basis for TRAF6 interaction preferences, we built all-atom structural models of the TRAF6 MATH domain in complex with high-affinity binders and motif-matching nonbinders that were identified in the screen. We identified motif features that favor binding to TRAF6 as well as negative design elements distributed across the motif that can disfavor or preclude binding. Searching the human proteome for matches to the library screening-defined binding motif revealed that most known, biologically relevant TRAF6 motif matches occupy a different sequence space from the most enriched hits discovered in combinatorial library screening. Our experimentally determined binding preferences and structural models can 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
openRxiv
Published
2022-05-08
Volume
31
Issue
11
Pages
e4429-e4429
ISSN
0961-8368 (ISSN-L)
OpenAlex
W4307845388
Cited by
7
References
1
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 1
FWCI
0.63
Type
journal article
Language
en
Open access
Licence
cc-by
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
  • Center for Outcomes Research and Evaluation, Yale School of Medicine
  • Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology (P30-CA14051)
  • National Institutes of Health
  • National Cancer Institute (CA14051, P30CA014051, P30-CA-14051)
  • National Institute of General Medical Sciences (F32GM137510, F32GM114959, T32GM007287, R01GM129007)
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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