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Database of Ebola Virus Integrated Screens
DEVISe
Database of Ebola Virus Integrated Screens
Search Ebola virus–host protein interactions from integrated functional genomic screens, explore protein complexes, and generate interaction networks.
Published data is available without login. Access to unpublished data is restricted to members of NIH P01 AI120943. Contact devise@bu.edu with questions.
Database of Ebola Virus Integrated Screens
The network is an interactive diagram explored with a mouse or touch: drag to pan, scroll to zoom, and select a node or edge for details. It is not keyboard navigable. The same interactions, scores and study references are available as sortable, screen-reader accessible text in the Gene Lookup and Protein Complexes tabs, and can be downloaded with Download results or Cytoscape file.
The Database of Ebola Virus Integrated Screens (DEVISe) is a comprehensive resource combining data from multiple functional genomics screens to identify host factors involved in Ebola virus infection.
This database integrates diverse experimental evidence including proximity-dependent biotinylation, protein–protein interaction studies, genetic screens, and transcriptomic data to compute an evidence score for each protein's role in the viral lifecycle.
Funding
This work is supported by the National Institutes of Health under grant P01 AI120943.
The DEVISe scoring algorithm combines evidence strength and diversity to assess the evidence that a protein is a functional Ebola virus interactor. The formula integrates multiple data types with empirically determined weights.
Survival scores indicating a gene's essentiality (from Wang et al.) are included in database to inform users about the feasibility of conducting gene knockout experiments and are not considered when calculating DEVISe score.
In words: the score equals alpha times one minus the exponential of negative lambda times the sum over data type t, data instance k and manuscript j of the experiment-type weight E for t, k and j multiplied by the ECDF s raised to the power gamma; plus beta times the number of data types with at least one piece of evidence, divided by D-max. Each parameter is defined in the table that follows.
| Parameter | Description |
|---|---|
| Score | DEVISe evidence score that a protein is a functional Ebola virus interactor |
| α (alpha) | Weight of evidence strength parameter. Empirically set to 0.85 |
| β (beta) | Weight of evidence diversity parameter. Empirically set to 0.15 |
| t | Index of data type (proximity, protein interaction, genetic, transcriptomic) |
| k | Index of specific data instance for a particular protein |
| j | Index of manuscript containing evidence for a gene |
| λ (lambda) | Rate of saturating function mapping evidence strength to [0–1]. Empirically set to 1.85 |
| E | Experiment type weight. E=1 for proximity/protein/genetic; E=0.1 for transcriptomic |
| s | ECDF — how highly a piece of evidence ranks among screen hits |
| γ (gamma) | Scaling variable for importance of s relative to E |
| Dmax | Number of independent data classes for strong orthogonal support. Set to 4 |
Complex Portal is a manually curated database maintained by the European Bioinformatics Institute (EBI) that catalogs stable, experimentally verified protein complexes. DEVISe imports Complex Portal data to show which queried genes participate in known complexes, providing structural and functional context for identified host factors.
Site creator: Jillian Grassia, PhD candidate, Davey Lab | LinkedIn
Technical contributor: Ben Slutzky, NEIDL IT Operations Leader | LinkedIn
Advisor: Robert Davey, Professor | LinkedIn
DEVISe's application architecture and full-stack development were assisted by Claude (Anthropic).
For questions, feedback, or data inquiries, contact the DEVISe team at devise@bu.edu.