Cited by 714Cancer Mechanisms and TherapyProtein Kinase Regulation and GTPase SignalingComputational Drug Discovery Methods

Targeting the cancer kinome through polypharmacology

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Knight, Zachary A., Lin, Henry, Shokat, Kevan M.·2010·Nature reviews. Cancer

Abstract

Kinase inhibitors are the largest class of new cancer drugs. However, it is already apparent that most tumours can escape from the inhibition of any single kinase. If it is necessary to inhibit multiple kinases, how do we choose which ones? In this Opinion article, we discuss some of the strategies that are currently being used to identify new therapeutic combinations of kinase targets.

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Crossref · 10.1038/nrc2787

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  • No correlation was found between frequency of degradation and maximum observed protein abundance fold change for each kinase, with knowledge metrics such as the pubmed score and the number of entries in the PDB.

    “We found no correlation between these variables, consistent with evidence that kinase inhibitor pharmacophores display a high degree of polypharmacology”

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Authors
Knight, Z. A., Lin, H., & Shokat, K. M.
Affiliations
  • Rockefeller University (US)
  • Howard Hughes Medical Institute (US)
Corresponding author
  • Knight, Zachary A.
  • Shokat, Kevan M.
Venue
Nature reviews. Cancer
Published
2010-02
Volume
10
Issue
2
Pages
130-137
ISSN
  • 1474-175X (ISSN-L)
  • 1474-1768
OpenAlex
W2022609682
Cited by
674
References
104
Citations by year
2026: 17 · 2025: 20 · 2024: 21 · 2023: 22 · 2022: 24 · 2021: 29 · 2020: 47 · 2019: 34 · 2018: 45 · 2017: 51 · 2016: 43 · 2015: 48 · 2014: 72 · 2013: 70 · 2012: 43
FWCI
8.19
Type
journal article
Language
en
Open access
Locations
  • Nature reviews. Cancer (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Howard Hughes Medical Institute
  • National Institutes of Health (5r01eb001987-15)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R00DK083531, K99DK083531)
  • National Institute of Biomedical Imaging and Bioengineering (R01-EB001987)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Cancer Mechanisms and Therapy
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
kinase inhibitors, polypharmacology, combination therapy, drug resistance, anticancer drug development
MeSH terms
Antineoplastic Agents, Antineoplastic Combined Chemotherapy Protocols, Humans, Mutation, Neoplasms, Protein Kinases, Technology, Pharmaceutical, Drug Delivery Systems, Drug Resistance, Neoplasm, RNA, Small Interfering, Protein Kinase Inhibitors, Drug Discovery

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