Cited by 2Receptor Mechanisms and SignalingComputational Drug Discovery MethodsProtein Structure and Dynamics

GPCRchimeraDB: A Database of Chimeric G Protein-Coupled Receptors (GPCRs) to Assist Their Design

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Crauwels, Charlotte, Díaz, Adrián, Vranken, Wim·2025·Journal of Molecular Biology

Published version of a preprint

Abstract

G protein-coupled receptors (GPCRs) are membrane proteins crucial to numerous diseases, yet many remain poorly characterized and untargeted by drugs. Chimeric GPCRs have emerged as valuable tools for elucidating GPCR function by facilitating the identification of signaling pathways, resolving structures, and discovering novel ligands of poorly understood GPCRs. Such chimeric GPCRs are obtained by merging a well- and less-well-characterized GPCR at the intracellular limits of their transmembrane regions or intracellular loops, leveraging knowledge transfer from the well-characterized GPCR. However, despite the engineering of over 200 chimeric GPCRs to date, the design process remains largely trial-and-error and lacks a standardized approach. To address this gap, we introduce GPCRchimeraDB (https://www.bio2byte.be/gpcrchimeradb/), the first comprehensive database dedicated to chimeric GPCRs. It catalogs 212 chimeric receptors, identified through literature review, and includes 1,755 class A natural GPCRs, enabling connections between chimeras and their parent receptors while facilitating the exploration of novel parent combinations. Both chimeric and natural GPCR entries are extensively described at the sequence, structural, and biophysical level through a range of visualization tools, with annotations from resources like UniProt and GPCRdb and predictions from AlphaFold2 and b2btools. Additionally, GPCRchimeraDB offers a GPCR sequence aligner and a feature comparator to investigate differences between natural and chimeric receptors. It also provides design guidelines to support rational chimera engineering. GPCRchimeraDB is therefore a resource to facilitate and optimize the design of new chimeras, so helping to gain insights into poorly characterized receptors and contributing to advances in GPCR therapeutic development.

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Authors
Crauwels, C., Díaz, A., & Vranken, W.
Affiliations
Université Libre de Bruxelles (BE)
Corresponding author
Vranken, Wim
Venue
Journal of Molecular Biology
Publisher
Elsevier BV
Published
2025-07
Volume
437
Issue
14
Pages
169164
ISSN
0022-2836 (ISSN-L)
OpenAlex
W4409638518
Cited by
2
References
5
Citations by year
2026: 2
FWCI
0.60
Type
journal article
Language
en
Open access
Locations
  • Journal of Molecular Biology (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • SSRN Electronic Journal (acceptedVersion)
  • PubMed (publishedVersion)
  • VUBIR (Vrije Universiteit Brussel) (submittedVersion)
Funders
  • Vlaams Supercomputer Centrum
  • Vlaamse regering
  • Research Foundation Flanders (G032816N, I000323N)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
Keywords
class A GPCRs, AlphaFold2
MeSH terms
Humans, Recombinant Fusion Proteins, Protein Engineering, Signal Transduction, Databases, Protein, Receptors, G-Protein-Coupled

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