Article ; Online: Sequence and Structure-Based Analysis of Specificity Determinants in Eukaryotic Protein Kinases.
2021 Volume 34, Issue 2, Page(s) 108602
Abstract: Protein kinases lie at the heart of cell-signaling processes and are often mutated in disease. Kinase target recognition at the active site is in part determined by a few amino acids around the phosphoacceptor residue. However, relatively little is known ...
Abstract | Protein kinases lie at the heart of cell-signaling processes and are often mutated in disease. Kinase target recognition at the active site is in part determined by a few amino acids around the phosphoacceptor residue. However, relatively little is known about how most preferences are encoded in the kinase sequence or how these preferences evolved. Here, we used alignment-based approaches to predict 30 specificity-determining residues (SDRs) for 16 preferences. These were studied with structural models and were validated by activity assays of mutant kinases. Cancer mutation data revealed that kinase SDRs are mutated more frequently than catalytic residues. We have observed that, throughout evolution, kinase specificity has been strongly conserved across orthologs but can diverge after gene duplication, as illustrated by the G protein-coupled receptor kinase family. The identified SDRs can be used to predict kinase specificity from sequence and aid in the interpretation of evolutionary or disease-related genomic variants. |
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MeSH term(s) | Animals ; Eukaryota/metabolism ; Humans ; Mice ; Models, Molecular ; Phosphorylation ; Protein Kinases/metabolism ; Protein Processing, Post-Translational/genetics ; Signal Transduction |
Chemical Substances | Protein Kinases (EC 2.7.-) |
Language | English |
Publishing date | 2021-01-13 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2649101-1 |
ISSN | 2211-1247 ; 2211-1247 |
ISSN (online) | 2211-1247 |
ISSN | 2211-1247 |
DOI | 10.1016/j.celrep.2020.108602 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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