Metabolite annotation and identification

MetDNA3

A metabolite-annotation platform using knowledge-driven and data-driven two-layer networking with recursive annotation propagation for untargeted metabolomics.

LC-MSUntargeted metabolomicsR packageWeb applicationSource available with restrictions

Overview

MetDNA3 recursively annotates metabolites using interacting knowledge-driven and experimental-similarity network layers. Its public MrnAnnoAlgo3 repository contains the core annotation algorithm; the registered web service supplies the complete platform workflow.

What can this tool do?

Structure-database searchingIdentification-confidence assessment

Common uses

  • Propagate metabolite annotations across related LC-MS features using complementary network layers.

Scientific fit

Primary function

Metabolite annotation and identification

Other functions

Molecular networking and chemical similarity

Analysis types

Untargeted metabolomics

Data compatibility

Inputs

Feature or peak table, Mass spectra

Outputs

Compound list or annotations, Statistical results

Input formats

MRN3 MS1 tables, matched MS2 lists and seed-annotation tables

Output formats

Network-propagated candidate annotations and confidence/redundancy results

Scope and considerations

Designed for

  • A metabolite-annotation platform using knowledge-driven and data-driven two-layer networking with recursive annotation propagation for untargeted metabolomics.

Not designed for

  • A claim that installing the core R repository reproduces every web-service module or experimentally confirms propagated candidates.

Important requirements

  • For the core algorithm, prepared MS1 feature data, matching MS2 lists and seed tables in MRN3 format with suitable instrument/LC/polarity settings. The complete hosted route requires registration and its documented uploads.

Considerations

  • Seed reliability, network coverage and acquisition compatibility influence propagation. The core function expects structured data rather than arbitrary raw files; evaluate confidence and alternative annotations.

Access and documentation

The core repository states CC-BY-NC-ND-4.0. Full web-service functionality and account access are distinct from the public core package; no open-source or unrestricted-reuse claim is made.

License: CC-BY-NC-ND-4.0

Evidence and review

Enveda intake rechecked against official repository documentation, package/license metadata and primary publication identity on 2026-10-27. Editorial source review only; no software execution or independent benchmark. See docs/enveda-expansion-review-2026-10-27-batch2.md.

Core publications

Resource papers, direct updates and tool-specific methods. Selection policy.

  1. Knowledge and data-driven two-layer networking for accurate metabolite annotation in untargeted metabolomics. Nature Communications (2025). doi:10.1038/s41467-025-63536-6

Related tools

Entry history

Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.

  1. 2026-10-27 · First committed entry

    Add 24 reviewed Enveda tools in a separate second batch

    View change · Entry at this revision

Full GitHub history