<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Van QN</submitter><funding>NCRR NIH HHS</funding><funding>DOE | NNSA | Los Alamos National Laboratory</funding><funding>HHS | National Institutes of Health</funding><funding>CCR NIH HHS</funding><funding>U.S. Department of Energy</funding><funding>DOE | LDRD | Oak Ridge National Laboratory</funding><funding>DOE | LDRD | Argonne National Laboratory</funding><funding>HHS | NIH | National Cancer Institute</funding><funding>DOE | LDRD | Lawrence Livermore National Laboratory</funding><funding>NCI NIH HHS</funding><funding>U.S. Department of Commerce</funding><funding>NIGMS NIH HHS</funding><funding>National Science Foundation</funding><pagination>24258-24268</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7533834</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>117(39)</volume><pubmed_abstract>The small GTPase KRAS is localized at the plasma membrane where it functions as a molecular switch, coupling extracellular growth factor stimulation to intracellular signaling networks. In this process, KRAS recruits effectors, such as RAF kinase, to the plasma membrane where they are activated by a series of complex molecular steps. Defining the membrane-bound state of KRAS is fundamental to understanding the activation of RAF kinase and in evaluating novel therapeutic opportunities for the inhibition of oncogenic KRAS-mediated signaling. We combined multiple biophysical measurements and computational methodologies to generate a consensus model for authentically processed, membrane-anchored KRAS. In contrast to the two membrane-proximal conformations previously reported, we identify a thi</pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pubmed_title>Uncovering a membrane-distal conformation of KRAS available to recruit RAF to the plasma membrane.</pubmed_title><pmcid>PMC7533834</pmcid><funding_grant_id>S10 RR028438</funding_grant_id><funding_grant_id>P50 GM085273</funding_grant_id><funding_grant_id>DE-AC52-07NA27344</funding_grant_id><funding_grant_id>JDACS4C</funding_grant_id><funding_grant_id>DE-AC05-00OR22725</funding_grant_id><funding_grant_id>S10 RR029220</funding_grant_id><funding_grant_id>S10RR023438</funding_grant_id><funding_grant_id>HHSN261200800001E</funding_grant_id><funding_grant_id>S10RR08438</funding_grant_id><funding_grant_id>S10 RR025062</funding_grant_id><funding_grant_id>DMB-8415048</funding_grant_id><funding_grant_id>HHSN261200800001C</funding_grant_id><funding_grant_id>P50GM085273</funding_grant_id><funding_grant_id>S10 RR002781</funding_grant_id><funding_grant_id>P41 GM103399</funding_grant_id><funding_grant_id>P41GM103399</funding_grant_id><funding_grant_id>S10RR025062</funding_grant_id><funding_grant_id>S10 RR023438</funding_grant_id><funding_grant_id>S10RR029220</funding_grant_id><funding_grant_id>OIA-9977486</funding_grant_id><funding_grant_id>DE-AC02-06-CH11357</funding_grant_id><funding_grant_id>S10RR02781</funding_grant_id><funding_grant_id>S10 RR008438</funding_grant_id><funding_grant_id>P41 GM103422</funding_grant_id><funding_grant_id>DE-AC5206NA25396</funding_grant_id><funding_grant_id>BIR-9214394</funding_grant_id><funding_grant_id>70NANB17H299</funding_grant_id><funding_grant_id>P41GM103422</funding_grant_id><pubmed_authors>Ramanathan A</pubmed_authors><pubmed_authors>Scott D</pubmed_authors><pubmed_authors>Tonelli M</pubmed_authors><pubmed_authors>Taylor T</pubmed_authors><pubmed_authors>Alexander P</pubmed_authors><pubmed_authors>Ye X</pubmed_authors><pubmed_authors>Lopez CA</pubmed_authors><pubmed_authors>Chertov O</pubmed_authors><pubmed_authors>Van QN</pubmed_authors><pubmed_authors>Bhowmik D</pubmed_authors><pubmed_authors>Gillette WK</pubmed_authors><pubmed_authors>Losche M</pubmed_authors><pubmed_authors>Nissley DV</pubmed_authors><pubmed_authors>Stephen AG</pubmed_authors><pubmed_authors>Esposito D</pubmed_authors><pubmed_authors>Simanshu DK</pubmed_authors><pubmed_authors>Niu B</pubmed_authors><pubmed_authors>McCormick F</pubmed_authors><pubmed_authors>Gnanakaran S</pubmed_authors><pubmed_authors>Heinrich F</pubmed_authors><pubmed_authors>Messing S</pubmed_authors><pubmed_authors>Stanley CB</pubmed_authors><pubmed_authors>Drew M</pubmed_authors><pubmed_authors>Westler WM</pubmed_authors><pubmed_authors>Tran TH</pubmed_authors><pubmed_authors>Gross ML</pubmed_authors><pubmed_authors>Markley JL</pubmed_authors><pubmed_authors>Frank PH</pubmed_authors><pubmed_authors>Hengartner NW</pubmed_authors></additional><is_claimable>false</is_claimable><name>Uncovering a membrane-distal conformation of KRAS available to recruit RAF to the plasma membrane.</name><description>The small GTPase KRAS is localized at the plasma membrane where it functions as a molecular switch, coupling extracellular growth factor stimulation to intracellular signaling networks. In this process, KRAS recruits effectors, such as RAF kinase, to the plasma membrane where they are activated by a series of complex molecular steps. Defining the membrane-bound state of KRAS is fundamental to understanding the activation of RAF kinase and in evaluating novel therapeutic opportunities for the inhibition of oncogenic KRAS-mediated signaling. We combined multiple biophysical measurements and computational methodologies to generate a consensus model for authentically processed, membrane-anchored KRAS. In contrast to the two membrane-proximal conformations previously reported, we identify a thi</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Sep</publication><modification>2026-04-29T06:26:07.526Z</modification><creation>2021-03-12T08:19:05Z</creation></dates><accession>S-EPMC7533834</accession><cross_references><pubmed>32913056</pubmed><doi>10.1073/pnas.2006504117</doi></cross_references></HashMap>