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Updated: Mar 9, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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KinMap: a web-based tool for interactive navigation through human kinome data.

Sameh Eid1, Samo Turk1, Andrea Volkamer1

  • 1BioMed X Innovation Center, Im Neuenheimer Feld 515, 69120, Heidelberg, Germany.

BMC Bioinformatics
|January 7, 2017
PubMed
Summary
This summary is machine-generated.

KinMap is a new online tool for exploring the human kinome, linking diverse data to the kinome tree. It aids in discovering new therapeutic uses for kinase inhibitors and prioritizing drug development targets.

Keywords:
Human kinome treeImagesInteractive annotationProtein kinases

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Area of Science:

  • Biochemistry
  • Genomics
  • Pharmacology

Background:

  • The human kinome is crucial for cellular functions, but managing complex kinase data is challenging.
  • Visualizing kinase relationships and disease associations requires advanced tools.
  • Existing methods lack comprehensive integration of biochemical, structural, and clinical data.

Purpose of the Study:

  • To develop an interactive online tool for navigating human kinome data.
  • To facilitate complex queries regarding kinase disease involvement and inhibitor therapeutics.
  • To aid in drug discovery and development by visualizing kinase relationships.

Main Methods:

  • Developed KinMap, a user-friendly online kinome tree viewer.
  • Integrated data from ChEMBL, Protein Data Bank, and CTTV.
  • Enabled integration of proprietary datasets alongside public resources.

Main Results:

  • KinMap provides interactive navigation of the human kinome.
  • It links biochemical, structural, and disease association data.
  • Demonstrated utility in identifying new therapeutic indications for kinase inhibitors and prioritizing drug targets.

Conclusions:

  • KinMap is a next-generation kinome viewer for interactive exploration.
  • It generates annotated kinome tree images and facilitates data exchange.
  • Offers support for multiple data formats and kinase naming conventions, enhancing cross-disciplinary utility.