Pathway and biological interpretation

FNICM

Prioritize core metabolite nodes from a perturbed metabolic network.

Platform-independentDesktop graphical interfaceAccess model unclear

Overview

FNICM propagates seed-node scores through a directed network, builds a ranked subnetwork and identifies core nodes using controllability analysis.

What can this tool do?

Feature selection

Common uses

  • Prioritize core metabolite nodes from a perturbed metabolic network.

Scientific fit

Primary function

Pathway and biological interpretation

Data compatibility

Inputs

Pathway or reaction data, Compound list or annotations

Outputs

Pathway or reaction data, Human-readable report

Input formats

Directed edge-list TXT and initial node scores

Output formats

TrustRank scores, subnetwork edges/nodes and core-node lists

Scope and considerations

Designed for

  • FNICM propagates seed-node scores through a directed network, builds a ranked subnetwork and identifies core nodes using controllability analysis.

Not designed for

  • Raw MS processing, molecular identification or demonstrated causal metabolite control.

Important requirements

  • Windows executable; a directed global network and seed scores aligned to its nodes.
  • Choose the number of top-ranked nodes used to form the subnetwork.

Considerations

  • Seed selection, network completeness and the chosen subnetwork size affect prioritization.
  • Undetected nodes can be prioritized by propagation; this does not establish that they were measured in the experiment.
  • Only a Windows executable was identified in the repository; it was not downloaded or run.

Access and documentation

LICENSE and LICENSE.md state AFL-3.0, but the README restricts use to research and asks commercial users to contact the author. Resolve these conflicting terms before reuse; no unrestricted open-source claim is made.

Evidence and review

Enveda intake checked against official documentation, license information and primary DOI/title/year on 2026-10-23. Editorial review only; no execution or independent benchmark.

Core publications

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

  1. FNICM: A New Methodology To Identify Core Metabolites Based on Significantly Perturbed Metabolic Subnetworks. Analytical Chemistry (2024). doi:10.1021/acs.analchem.3c04131

Related tools

Entry history

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

  1. 2026-10-23 · First committed entry

    Add SMART VInSMoC and FNICM with verified scope and access notes

    View change · Entry at this revision

Full GitHub history