KinaMetrix Edit

Citations: 0

z-index: 0

Basic information
Short name KinaMetrix
Full name
Description a web resource enabling researchers to investigate the protein kinase conformational space as well as a subset of kinase inhibitors that exhibit conformational specificity.
URL http://KinaMetrix.com
Year founded
Last update & version
Accessibility Accessible
Contact information

The contact information is provided to facilitate update of database information, and it is curated based on the contact details in the database or the related publications. To ensure effective contact with database constructors, we give priority to the contact details in the database.

University/Institution Icahn school of Medicine at Mount Sinai
Address Department of Pharmacological Sciences, Icahn school of Medicine at Mount Sinai, New York, NY 10029, USA.
City
Province/State
Country/Region United States
Contact name (PI/Team) Rayees Rahman
Contact email (PI/Helpdesk) rayees.rahman@icahn.mssm.edu
Data information
Data object
Data type
Database category
Major organism
Keyword
Publications
  • KinaMetrix: a web resource to investigate kinase conformations and inhibitor space. [PMID: 30321373]
    Rayees Rahman, Peter Man-Un Ung, Avner Schlessinger

    Protein kinases are among the most explored protein drug targets. Visualization of kinase conformations is critical for understanding structure-function relationship in this family and for developing chemically unique, conformation-specific small molecule drugs. We have developed Kinformation, a random forest classifier that annotates the conformation of over 3500 protein kinase structures in the Protein Data Bank. Kinformation was trained on structural descriptors derived from functionally important motifs to automatically categorize kinases into five major conformations with pharmacological relevance. Here we present KinaMetrix (http://KinaMetrix.com), a web resource enabling researchers to investigate the protein kinase conformational space as well as a subset of kinase inhibitors that exhibit conformational specificity. KinaMetrix allows users to classify uploaded kinase structures, as well as to derive structural descriptors of protein kinases. Uploaded structures can then be compared to atomic structures of other kinases, enabling users to identify kinases that occupy a similar conformational space to their uploaded structure. Finally, KinaMetrix also serves as a repository for both small molecule substructures that are significantly associated with each conformation type, and for homology models of kinases in inactive conformations. We expect KinaMetrix to serve as a resource for researchers studying kinase structural biology or developing conformation-specific kinase inhibitors.

    Nucleic Acids Res 2019:47(D1)

    0 Citations (from Europe PMC, 2019-06-08)

Rank

  • Ranking in all databases: No. 0
  • Ranking in category/categories:
    • Structure: No. 0
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of KinaMetrix.

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Record metadata

  • Created on: 2019-01-04
    • ***d@***c.cn [2019-01-12]
    • ***d@***c.cn [2019-01-12]
    • ***d@***c.cn [2019-01-04]

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