Computational design of dynamic receptor-peptide signaling complexes applied to chemotaxis.
Details
Serval ID
serval:BIB_3F1996DB956D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Computational design of dynamic receptor-peptide signaling complexes applied to chemotaxis.
Journal
Nature communications
ISSN
2041-1723 (Electronic)
ISSN-L
2041-1723
Publication state
Published
Issued date
19/05/2023
Peer-reviewed
Oui
Volume
14
Number
1
Pages
2875
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Abstract
Engineering protein biosensors that sensitively respond to specific biomolecules by triggering precise cellular responses is a major goal of diagnostics and synthetic cell biology. Previous biosensor designs have largely relied on binding structurally well-defined molecules. In contrast, approaches that couple the sensing of flexible compounds to intended cellular responses would greatly expand potential biosensor applications. Here, to address these challenges, we develop a computational strategy for designing signaling complexes between conformationally dynamic proteins and peptides. To demonstrate the power of the approach, we create ultrasensitive chemotactic receptor-peptide pairs capable of eliciting potent signaling responses and strong chemotaxis in primary human T cells. Unlike traditional approaches that engineer static binding complexes, our dynamic structure design strategy optimizes contacts with multiple binding and allosteric sites accessible through dynamic conformational ensembles to achieve strongly enhanced signaling efficacy and potency. Our study suggests that a conformationally adaptable binding interface coupled to a robust allosteric transmission region is a key evolutionary determinant of peptidergic GPCR signaling systems. The approach lays a foundation for designing peptide-sensing receptors and signaling peptide ligands for basic and therapeutic applications.
Keywords
Humans, Chemotaxis/physiology, Peptides, Signal Transduction, Proteins, Allosteric Site, Ligands
Pubmed
Web of science
Open Access
Yes
Create date
30/05/2023 10:42
Last modification date
09/12/2023 7:02