Molecular networking and chemical similarity

GNPS2 Feature-Based Molecular Networking workflow

Dedicated GNPS2 workflow that combines an aligned LC-MS feature table with MS/MS spectra to build quantitative molecular networks.

LC-MSWeb applicationFree web service

Overview

Feature-Based Molecular Networking bridges upstream LC-MS/MS feature-processing tools with GNPS molecular networking. A quantitative feature table and representative MS/MS spectra are exported from software such as MZmine, MS-DIAL, XCMS, or OpenMS and used to build molecular networks in which each node corresponds to an aligned chromatographic feature.

What can this tool do?

Spectral-library matchingNetwork visualization

Common uses

  • Build molecular networks that retain chromatographic feature abundance across samples.
  • Layer metadata and quantitative information onto MS/MS molecular families.

Scientific fit

Primary function

Molecular networking and chemical similarity

Data compatibility

Inputs

Feature or peak table, Mass spectra, Sample metadata

Outputs

Feature or peak table, Compound list or annotations, Human-readable report

Input formats

CSV or TSV, MGF, MSP, mzML

Output formats

Network edge and node tables, library matches and downloadable workflow results

Scope and considerations

Designed for

  • Untargeted LC-MS/MS studies where chromatographic feature detection and quantitative feature tables are important for molecular-network interpretation.
  • Resolving isomeric or chromatographically separated features that would otherwise be combined in purely spectrum-centric networking.

Not designed for

  • Definitive structure identification from spectral similarity alone.
  • Replacing experimental quality control or validating biological causation.

Important requirements

  • An aligned feature quantification table and representative MS/MS spectra exported from a compatible preprocessing workflow.
  • Matching feature identifiers between the quantification table and spectral summary; sample metadata is optional.

Considerations

  • The quality of the molecular network depends on upstream feature detection, alignment, MS/MS assignment, and preprocessing choices.
  • FBMN does not remove the need for independent structural validation; library matches and network propagation represent different levels of annotation evidence.
  • Raw mzML files are optional supporting inputs in the documented GNPS2 workflow; they do not replace the required processed feature table and spectral summary.

Education

Learn this tool

External tutorials and workshops collected by Navigator. Entries marked Needs review have not been checked end to end.

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Access and documentation

GNPS2 is openly available to the academic community. The current GNPS2 documentation asks industry users to contact the maintainers or UC Riverside Technology Transfer regarding organizational access. Workflow submission requires a GNPS2 account.

Evidence and review

Reviewed against GNPS2 documentation and the linked method publication on 2026-09-09. No analysis job was submitted and no independent benchmarking or developer verification is claimed.

Core publications

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

  1. Nothias L-F, Petras D, Schmid R, et al. Feature-based molecular networking in the GNPS analysis environment. Nature Methods 17, 905–908 (2020). doi:10.1038/s41592-020-0933-6

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Entry history

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

  1. 2026-09-12 · Entry update

    Present FBMN and ion identity networking as analytical strategies

    View change · Entry at this revision
  2. 2026-09-09 · First committed entry

    Add dedicated GNPS2 molecular networking Tools

    View change · Entry at this revision

Full GitHub history