EVMP Atlas is a comprehensive knowledgebase dedicated to human extracellular vesicle membrane proteins (EVMPs), providing systematic evidence integration, confidence scoring, functional annotation, disease association, biomarker annotation, and drug-target mapping. EVMPs are associated with extracellular vesicle membranes, with a subset exposed on the vesicle surface, where they contribute to vesicle biogenesis, cargo delivery, cellular recognition and uptake, intercellular communication, and disease-related biological processes. However, existing EV resources provide limited membrane-focused annotation and generally lack an integrated framework for evaluating the biological functions, disease relevance, and translational potential of EVMPs.
EVMP Atlas integrates multidimensional evidence for 2,176 human EVMPs through large-scale text mining and manual curation. Compared with existing EV databases, EVMP Atlas substantially expands the membrane-focused EV protein landscape by incorporating 923 previously unrecorded EVMPs, increasing membrane-protein coverage by 73.7% relative to the 1,253 EVMPs represented in existing databases. Disease mapping links the curated EVMPs to 478 human diseases, while clinical annotation connects 732 EVMPs to reported biomarker applications and 302 EVMPs to potential drug targets. The curated EVMPs are systematically organized into six functional and translational modules: membrane fusion and cargo delivery, adhesion and uptake, receptor-mediated signal transduction, immune regulation, metabolic regulation, and clinical translation. In addition, comparative analysis of circulating EVMP profiles between healthy controls and patients across multiple cancer types highlights the potential diagnostic utility of EVMPs as circulating biomarkers.
EVMP Atlas enables users to browse, search, score, and interpret EVMPs across biological functions, disease contexts, and translational applications. It provides a curated and interpretable resource for extracellular vesicle biology, biomarker discovery, therapeutic-target prioritization, and translational EV research.