Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning.
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| Title: | Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning. |
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| Authors: | Estevam GO; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.; Tetrad Graduate Program, University of California, San Francisco, San Francisco, United States., Linossi E; Cardiovascular Research Institute, University of California, San Francisco, San Francisco, United States.; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States., Rao J; Department of Computer Science, University of California, Los Angeles, Los Angeles, United States., Macdonald CB; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States., Ravikumar A; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States., Chrispens KM; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.; Biophysics Graduate Program, San Francisco, United States., Capra JA; Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, United States., Coyote-Maestas W; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.; Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, United States., Pimentel H; Department of Computer Science, University of California, Los Angeles, Los Angeles, United States.; Department of Computational Medicine and Human Genetics, University of California, Los Angeles, Los Angeles, United States.; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States., Collisson EA; Human Biology, Fred Hutchinson Cancer Center, Seattle, United States.; Department of Medicine, University of Washington, Seattle, United States., Jura N; Cardiovascular Research Institute, University of California, San Francisco, San Francisco, United States.; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States.; Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, United States., Fraser JS; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States.; Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, United States. |
| Source: | ELife [Elife] 2025 Feb 17; Vol. 13. Date of Electronic Publication: 2025 Feb 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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