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KiwiMS

imported

therapeutics/kiwims

Data analysis workflow for proteomics mass spectrometry featuring bayesian deconvolution and various downstream analyses.

Machine-generated from the listed sources and not yet reviewed by a human.

KiwiMS project image
GitHub preview card for infinity-a11y/KiwiMS. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/infinity-a11y/KiwiMS
Documentation
unknown
Tags
binding-affinity · covalent-drug · covalent-ligand · deconvolution · drug-discovery · lc-ms · mass-spectrometry · ms · protein-binding · proteomics
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    📊 User-friendly mass spectrometry and chromatography data analysis app with native UI, graphing, quantification, MS/MS and data export capabilities

  • Sipros4lc-ms · mass-spectrometry · proteomics

    Sipros 4 for stable isotopic mass spectrum metaproteomics proteomics

  • asb-skill-collectionslc-ms · mass-spectrometry

    Curated, evidence-grounded skill and software-tool collections for scientific AI agents, generated by the AgenticScienceBuilder

  • boltz2-notebookbinding-affinity · drug-discovery

    Boltz2 Notebook – A streamlined Colab-based pipeline for protein structure prediction and binding affinity analysis using the Boltz2 deep learning model.

  • CompassDockbinding-affinity · drug-discovery

    Official Implementation of CompassDock

sources
  1. api.github.com/repos/infinity-a11y/KiwiMS
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 4 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/61.json→ .entries["kiwims"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.