2019
Computational algorithms for in silico profiling of activating mutations in cancer
Jordan EJ, Patil K, Suresh K, Park JH, Mosse YP, Lemmon MA, Radhakrishnan R. Computational algorithms for in silico profiling of activating mutations in cancer. Cellular And Molecular Life Sciences 2019, 76: 2663-2679. PMID: 30982079, PMCID: PMC6589134, DOI: 10.1007/s00018-019-03097-2.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBiomarkers, TumorComputational BiologyComputer SimulationHumansMutationNeoplasmsSignal TransductionConceptsTarget proteinsSingle nucleotide polymorphismsB-RafSerine/threonine-protein kinase B-RafDifferent target proteinsEffects of mutationsStructure-based computational approachKinase domainStructure-based methodsStructure-based modelProtein structureProtein activationSilico profilingAnaplastic lymphoma kinaseInteraction of inhibitorsMutational landscapeHuman cancersPoint mutationsProteinMutationsMutational patternsDifferent mutationsActivation statusComputational approachLymphoma kinase
2010
ErbB3/HER3 intracellular domain is competent to bind ATP and catalyze autophosphorylation
Shi F, Telesco SE, Liu Y, Radhakrishnan R, Lemmon MA. ErbB3/HER3 intracellular domain is competent to bind ATP and catalyze autophosphorylation. Proceedings Of The National Academy Of Sciences Of The United States Of America 2010, 107: 7692-7697. PMID: 20351256, PMCID: PMC2867849, DOI: 10.1073/pnas.1002753107.Peer-Reviewed Original Research