Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning.

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Bibliographic Details
Title: Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning.
Authors: Estevam GO; Department of Bioengineering and Therapeutic Sciences, UCSF, San Francisco, CA, United States.; Tetrad Graduate Program, UCSF, San Francisco, CA, United States., Linossi EM; Cardiovascular Research Institute, UCSF, San Francisco, CA, United States.; Department of Cellular and Molecular Pharmacology, UCSF, San Francisco, CA, United States., Rao J; Department of Computer Science, UCLA, Los Angeles, CA, United States., Macdonald CB; Department of Bioengineering and Therapeutic Sciences, UCSF, San Francisco, CA, United States., Ravikumar A; Department of Bioengineering and Therapeutic Sciences, UCSF, San Francisco, CA, United States., Chrispens KM; Department of Bioengineering and Therapeutic Sciences, UCSF, San Francisco, CA, United States.; Biophysics Graduate Program, UCSF, San Francisco, CA, United States., Capra JA; Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, United States., Coyote-Maestas W; Department of Bioengineering and Therapeutic Sciences, UCSF, San Francisco, CA, United States.; Quantitative Biosciences Institute, UCSF, San Francisco, CA, United States., Pimentel H; Department of Computer Science, UCLA, Los Angeles, CA, United States.; Department of Computational Medicine and Human Genetics, UCLA, Los Angeles, CA, United States.; Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States., Collisson EA; Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, United States.; Department of Medicine, University of Washington, Seattle, Washington, United States., Jura N; Cardiovascular Research Institute, UCSF, San Francisco, CA, United States.; Department of Cellular and Molecular Pharmacology, UCSF, San Francisco, CA, United States.; Quantitative Biosciences Institute, UCSF, San Francisco, CA, United States., Fraser JS; Department of Bioengineering and Therapeutic Sciences, UCSF, San Francisco, CA, United States.; Quantitative Biosciences Institute, UCSF, San Francisco, CA, United States.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2024 Dec 05. Date of Electronic Publication: 2024 Dec 05.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2024.07.16.603579