The GPCR Evolution Database provides the data and tools for researchers to examine GPCR function through an evolutionary lens, allowing molecular insights from well-studied receptors to be extended to their underexplored relatives.
Abstract
GPCRs make up the largest family of human membrane proteins and of drug targets. Decades of experimental and structural work have revealed how these receptors operate at the molecular level, but this work has covered only a fraction of the superfamily, leaving the majority of receptors underexplored. To address this problem, we developed the GPCR Evolution Database, gpcrevolution.org, an open-access resource that makes high-quality evolutionary analysis of GPCRs available to every laboratory. Through our database, each human receptor can be examined against its own orthologs, where per-residue conservation reveals the sites that evolution has protected throughout that receptor’s history. These orthologous lineages can then be compared with their paralogs within the same GPCR family, to distinguish residues shared across paralogous lineages, which likely support ancestral functions, from the lineage-specific residues that underlie functional differentiation between receptor subtypes. The database provides ortholog sets, multiple sequence alignments, phylogenetic trees and per-residue conservation scores for over 800 human GPCRs. The resource presents these through interactive conservation plots, sequence logos and snake plots, and provides tools for comparing conservation across two or more paralogous lineages. Overall, the GPCR Evolution Database provides the data and tools for researchers to examine GPCR function through an evolutionary lens, allowing molecular insights from well-studied receptors to be extended to their underexplored relatives.
Atlantis, a database that integrates structural and functional information at the human proteome residue level and a Model Context Protocol (MCP) connector allows the interrogation of the resource through Large Language Models (LLMs) or agentic frameworks for biomedical research.
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