<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yeung E</submitter><funding>Hertz Foundation</funding><funding>National Institutes of Health</funding><funding>Royal Society</funding><funding>NIGMS NIH HHS</funding><funding>National Science Foundation</funding><funding>Engineering and Physical Sciences Research Council</funding><pagination>877-882.e6</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7085240</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>30(5)</volume><pubmed_abstract>Multisite protein phosphorylation plays a critical role in cell regulation [1-3]. It is widely appreciated that the functional capabilities of multisite phosphorylation depend on the order and kinetics of phosphorylation steps, but kinetic aspects of multisite phosphorylation remain poorly understood [4-6]. Here, we focus on what appears to be the simplest scenario, when a protein is phosphorylated on only two sites in a strict, well-defined order. This scenario describes the activation of ERK, a highly conserved cell-signaling enzyme. We use Bayesian parameter inference in a structurally identifiable kinetic model to dissect dual phosphorylation of ERK by MEK, a kinase that is mutated in a large number of human diseases [7-12]. Our results reveal how enzyme processivity and efficiencies o</pubmed_abstract><journal>Current biology : CB</journal><pubmed_title>Inference of Multisite Phosphorylation Rate Constants and Their Modulation by Pathogenic Mutations.</pubmed_title><pmcid>PMC7085240</pmcid><funding_grant_id>EP/R005125/1</funding_grant_id><funding_grant_id>R01 GM086537</funding_grant_id><funding_grant_id>R35 GM128813</funding_grant_id><funding_grant_id>EP/K041096/1</funding_grant_id><funding_grant_id>T32 GM007388</funding_grant_id><funding_grant_id>EP/R018472/1</funding_grant_id><pubmed_authors>Shvartsman SY</pubmed_authors><pubmed_authors>Filippi S</pubmed_authors><pubmed_authors>Wuhr M</pubmed_authors><pubmed_authors>McFann S</pubmed_authors><pubmed_authors>Harrington HA</pubmed_authors><pubmed_authors>Marsh L</pubmed_authors><pubmed_authors>Yeung E</pubmed_authors><pubmed_authors>Dufresne E</pubmed_authors></additional><is_claimable>false</is_claimable><name>Inference of Multisite Phosphorylation Rate Constants and Their Modulation by Pathogenic Mutations.</name><description>Multisite protein phosphorylation plays a critical role in cell regulation [1-3]. It is widely appreciated that the functional capabilities of multisite phosphorylation depend on the order and kinetics of phosphorylation steps, but kinetic aspects of multisite phosphorylation remain poorly understood [4-6]. Here, we focus on what appears to be the simplest scenario, when a protein is phosphorylated on only two sites in a strict, well-defined order. This scenario describes the activation of ERK, a highly conserved cell-signaling enzyme. We use Bayesian parameter inference in a structurally identifiable kinetic model to dissect dual phosphorylation of ERK by MEK, a kinase that is mutated in a large number of human diseases [7-12]. Our results reveal how enzyme processivity and efficiencies o</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Mar</publication><modification>2026-05-02T14:42:16.65Z</modification><creation>2021-03-11T08:19:20Z</creation></dates><accession>S-EPMC7085240</accession><cross_references><pubmed>32059766</pubmed><doi>10.1016/j.cub.2019.12.052</doi></cross_references></HashMap>