EVd3x v1 beta

Search any miRNA, mRNA, or protein — EVd3x maps it across EV evidence, pathways, disease, and cell context in one workspace.

Direct launches
Natural-language launches
After Analyze

You found your molecules. Now understand what they mean.

EVd3x moves you from a list of cargo hits to testable biological insight in four steps — each grounded in EV-specific evidence, not generic enrichment.

01
Measure cargo signal

Quantify EV-supported evidence for every molecule — direct database records, inferred associations, and source-level provenance.

02
Map biological relevance

Connect cargo to pathways, diseases, cell types, and interaction networks from the active graph — not from a separate tool.

03
Manipulate analysis state

Pivot across analysis views, adjust filters, and reshape top-N windows to stress-test hypotheses before committing to bench work.

04
Validate experimentally

Export prioritized candidates with full evidence tables and graph context — structured for targeted validation planning.

Agentic Framework

An AI assistant grounded in your loaded data

The assistant reasons from your active graph, summary state, and analysis tabs — never from outside the loaded context. It routes you to the right surface and explains what it finds.

Grounded in your evidence

Every response draws on EV evidence records, ranked entities, and source-backed provenance from the active result — nothing is fabricated or inferred from outside your search.

Routes to the right analysis

Ask a question in natural language and the assistant opens the relevant module — pathway, disease, cell context, L-R, or PPI — with the right filters applied.

Helps you narrow, not just explore

It reshapes top-N lists, adjusts subsets, and structures exports so your hypotheses are experiment-ready — all within browser-safe compute limits.

Coverage snapshot

What EVd3x covers today

Evidence, pathway, interaction, and disease layers unified in a single graph-native workspace.

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Integrated Databases
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Canonical Molecules
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EV Evidence Rows
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Publications Indexed
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Pathway Memberships
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Disease Associations
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miRNA-Gene Targets
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Ligand-Receptor Pairs
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STRING Interactions
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Expression Profiles
Analysis Surface
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Node-level and system-level views spanning EV Evidence, Pathway, Disease, Cell Context, L-R, and PPI modules.
Interactive Graph Views
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Search-aware layouts with legends, fit controls, and direct navigation into analysis tabs from the same workspace.
Research Exports
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Publication-ready tables, figure assets, graph bundles, and CSV exports with full provenance metadata.
Core analysis modules

Six modules that turn cargo lists into biological insight

Every module operates on your active graph and summary state. Switch tabs freely — the loaded context follows you.

EV Evidence

See which databases support each molecule, drill into provenance rows, filter by sample type, and trace back to EV-TRACK-linked studies.

Pathway

Run enrichment across integrated pathway sources and connect your cargo to biological programs — not isolated gene lists.

Disease

Surface direct and predicted disease associations with publication-backed evidence and ranked system-level summaries.

Cell Context

Identify the most relevant cell types for your cargo and use cell-level context as the starting point for communication analysis.

L-R Analysis

Project ligand-receptor pairs from your active system using relevance-ranked starter sets designed to run efficiently in the browser.

PPI + Exports

Expand proteins into STRING interaction neighborhoods, inspect context, and export figures or data tables without leaving your analysis.

Grounding and provenance

Every result traces back to its source

Canonical identifiers, database provenance, and publication-linked records stay attached across summaries, tabs, and exports — so nothing loses its origin.

EV Evidence Pathway Databases Ligand-Receptor Atlas STRING PPI Cell Expression
Data connectivity

Canonical IDs link molecules across pathway, interaction, and disease layers in a single connected graph.

Evidence granularity

Every analysis tab preserves source-level rows with publication and database provenance intact.

Processing transparency

Display caps keep views responsive; exports include the full candidate set when available.

Analysis Workspace
Single Cargo Analysis
Node-level interpretation stays here for single-cargo searches.
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Node Details Overview
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Ranking cell types...

Cell Context
Ranks cells by direct query-seed coherence, marker support, and network-supported context. Top 5 relevant source cells are preselected for communication.
Cell Specificity
Cell Specificity Table
Localization Readiness Table
Preparing communication view

Review selected source cells, then click Update Communication to apply changes.

Running analysis...

Cell Communication
Selected Source Cells
Source → Target Cell Interactions
Interaction Details
System flow overview
Top Interacting Cell Pairs

Analyzing ligands & receptors...

Running enrichment analysis...

Pathway Enrichment
Top Enriched Pathways
Biological Themes Overview
Scored Pathway Results

Analyzing disease associations...

Disease Associations
Priority Diseases
Disease Themes
Disease Evidence Explorer
Layout
Click to select. Click again to clear. Drag to reposition. Use fit/reset to navigate.
Graph Legend
Node Types
miRNA
mRNA
Protein
Node States
Query seed
EV-supported
Inferred
Shared target
Edge Types
miRNA → mRNA
mRNA → Protein
STRING PPI
Interactions
Click any node to focus it in the graph and open node-level analysis. Click the background to clear focus and return to the current analysis layer.
PPI Interactions
Select a protein node
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Search
Min score

Select a protein node to view one-hop STRING interactions.

Research Chat
Agent
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