Large-scale survey and database of high affinity ligands for peptide recognition modules
- Author(s)
- Teyra, J; Kelil, A; Jain, S; Helmy, M; Jajodia, R; Hooda, Y; Gu, J; D’Cruz, AA; Nicholson, SE; Min, J; Sudol, M; Kim, PM; Bader, GD; Sidhu, SS;
- Details
- Publication Year 2020,Volume 16,Issue #12,Page e9310
- Journal Title
- Molecular Systems Biology
- Publication Type
- Journal Article
- Abstract
- Many proteins involved in signal transduction contain peptide recognition modules (PRMs) that recognize short linear motifs (SLiMs) within their interaction partners. Here, we used large-scale peptide-phage display methods to derive optimal ligands for 163 unique PRMs representing 79 distinct structural families. We combined the new data with previous data that we collected for the large SH3, PDZ, and WW domain families to assemble a database containing 7,984 unique peptide ligands for 500 PRMs representing 82 structural families. For 74 PRMs, we acquired enough new data to map the specificity profiles in detail and derived position weight matrices and binding specificity logos based on multiple peptide ligands. These analyses showed that optimal peptide ligands resembled peptides observed in existing structures of PRM-ligand complexes, indicating that a large majority of the phage-derived peptides are likely to target natural peptide-binding sites and could thus act as inhibitors of natural protein–protein interactions. The complete dataset has been assembled in an online database (http://www.prm-db.org) that will enable many structural, functional, and biological studies of PRMs and SLiMs. © 2020 The Authors. Published under the terms of the CC BY 4.0 license
- Publisher
- EMBO Press
- Keywords
- domain specificity; peptide inhibitors; peptide library; peptide recognition modules; phage display
- Research Division(s)
- Inflammation
- PubMed ID
- 33438817
- Publisher's Version
- https://doi.org/10.15252/msb.20199310
- Open Access at Publisher's Site
https://doi.org/10.15252/msb.20199310- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2021-02-01 12:08:36
Last Modified: 2021-03-02 02:41:34