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Molecular determinants of TRAF6 binding specificity suggest that native interaction partners are not optimized for affinity
Open accessPublished 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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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Highly accurate protein structure prediction for the human proteome
Tunyasuvunakool, K., Adler, J., Wu, Z., Green, T., Zielinski, M., Žídek, A., Bridgland, A., Cowie, A., Meyer, C., Laydon, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03828-1 · Cited by 3,025 · cited 1×
“The AlphaFold pLDDT score is reported to be a good predictor of disorder [36], so we included the average and maximum AlphaFold pLDDT scores of the motif (+3 flanking residues) within the predicted structure of the protein [36–38].”
MethodThe Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
Alford, R. F., Leaver-Fay, A., Jeliazkov, J. R., O’Meara, M. J., DiMaio, F. P., Park, H., Shapovalov, M. V., Renfrew, P. D., Mulligan, V. K., Kappel, K., et al. (2017) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.7b00125 · Cited by 1,532
Influence of proline residues on protein conformation
MacArthur, M. W., & Thornton, J. M. (1991) · Journal of Molecular Biology · doi:10.1016/0022-2836(91)90721-h · Cited by 1,189
Necroptosis and RIPK1-mediated neuroinflammation in CNS diseases
Yuan, J., Amin, P., & Ofengeim, D. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0093-1 · Cited by 967
A Specificity Map for the PDZ Domain Family
Tonikian, R., Zhang, Y., Sazinsky, S. L., Currell, B., Yeh, J.-H., Reva, B., Held, H. A., Appleton, B. A., Evangelista, M., Wu, Y., et al. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060239 · Cited by 476
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Research works printed but not linked: 66
- 10.1093/nar/gkx1077 · DOI
- 10.1002/pro.2881 · DOI
- 10.1073/pnas.1312296111 · DOI · Paper page
- 10.1074/jbc.M602902200 · DOI
- 10.1016/j.molcel.2019.08.029 · DOI
- 10.1021/acssynbio.8b00499 · DOI
- 10.1111/imr.12302 · DOI
- 10.1002/bies.10352 · DOI
- 10.1186/1750-2187-8-7 · DOI
- 10.3389/fimmu.2019.01107 · DOI
- 10.1021/ci500631e · DOI
- 10.1016/j.trsl.2017.10.012 · DOI
- 10.1073/pnas.1400419111 · DOI
- 10.1016/j.ijcard.2018.12.076 · DOI
- 10.1016/j.bbrc.2007.05.151 · DOI
- 10.1016/j.jacc.2017.11.055 · DOI · Paper page
- 10.1007/978-0-387-70630-6_15 · DOI
- 10.1038/nature00888 · DOI
- 10.1007/978-0-387-70630-6_1 · DOI
- 10.1074/jbc.M110.189308 · DOI
- 10.1242/jcs.115.4.679 · DOI
- 10.1074/jbc.M115.666578 · DOI
- 10.1002/cbic.201800436 · DOI
- 10.4049/jimmunol.171.8.4304 · DOI
- 10.1073/pnas.0308496101 · DOI
- 10.1073/pnas.96.4.1234 · DOI
- 10.1074/jbc.274.20.14246 · DOI
- 10.1101/gad.13.10.1297 · DOI
- 10.7554/eLife.70680 · DOI
- 10.1093/protein/gzn020 · DOI
- 10.1110/ps.051897806 · DOI
- 10.1002/prot.22716 · DOI
- 10.1038/nmeth.2646 · DOI
- 10.1093/nar/gkx238 · DOI
- 10.1093/nar/gky384 · DOI
- 10.1093/nar/gkab1061 · DOI · Paper page
- 10.1038/75556 · DOI · Paper page
- 10.1093/nar/gkaa1113 · DOI · Paper page
- 10.1093/nar/gkw985 · DOI
- 10.1016/j.bbrc.2008.07.126 · DOI
- 10.1016/S1074-7613(00)80252-6 · DOI · Paper page
- 10.1038/ni1061 · DOI
- 10.3390/ijms21165887 · DOI · Paper page
- 10.1186/s12964-015-0120-z · DOI
- 10.1093/bioinformatics/btr060 · DOI
- 10.1039/C1MB05231D · DOI
- 10.1021/cr400585q · DOI
- 10.1074/jbc.273.2.729 · DOI
- 10.7554/eLife.49439 · DOI
- 10.1177/1535370214566558 · DOI
- 10.1093/protein/gzp065 · DOI
- 10.1007/978-1-4939-2748-7_1 · DOI
- 10.1093/bioinformatics/btz921 · DOI
- 10.1126/science.1089427 · DOI
- 10.1016/0263-7855(96)00018-5 · DOI · Paper page
- 10.1002/jcc.20289 · DOI · Paper page
- 10.1038/nmeth.4067 · DOI
- 10.1016/0021-9991(77)90098-5 · DOI
- 10.1063/1.464397 · DOI
- 10.1021/ct9000685 · DOI
- 10.1073/pnas.96.17.9459 · DOI
- 10.1021/ja961379l · DOI
- 10.1039/B718519G · DOI
- 10.1074/jbc.273.25.15458 · DOI
- 10.1126/science.3892686 · DOI
- 10.1002/pro.3943 · DOI
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
- PMC
- PMC9597381
- 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
- hybrid
- doi.org
- 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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