Computational analysis of receptor tyrosine kinase inhibitors and cancer metabolism: implications for treatment and discovery of potential therapeutic signatures-Reference-Cited by-同舟云学术

Computational analysis of receptor tyrosine kinase inhibitors and cancer metabolism: implications for treatment and discovery of potential therapeutic signatures

Published:2019-06-17 Issue:1 Volume:19 Page:
ISSN:1471-2407
Container-title:BMC Cancer
language:en
Short-container-title:BMC Cancer

Author:

Li Jian,Halfter Kathrin,Zhang Mengying,Saad Christian,Xu Kai,Bauer Bernhard,Huang Yijiang,Shi Lei,Mansmann Ulrich R.

Funder

Deutsches Krebsforschungszentrum

Medical Informatics Initiative Germany

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Oncology

Link

http://link.springer.com/content/pdf/10.1186/s12885-019-5804-0.pdf

Reference60 articles.

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3. Ullrich A, Schlessinger J. Signal transduction by receptors with tyrosine kinase activity. Cell. 1990;61:203–12.

4. Burgess AW, et al. An open-and-shut case? Recent insights into the activation of EGF/ErbB receptors. Mol Cell. 2003;12:541–52.

5. Sharma SV, Bell DW, Settleman J, Haber DA. Epidermal growth factor receptor mutations in lung cancer. Nat Rev Cancer. 2007;7:169–81.

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