Molecular modeling and molecular dynamic simulation of the effects of variants in the TGFBR2 kinase domain as a paradigm for interpretation of variants obtained by next generation sequencing

Variants in the TGFBR2 kinase domain cause several human diseases and can increase propensity for cancer. The widespread application of next generation sequencing within the setting of Individualized Medicine (IM) is increasing the rate at which TGFBR2 kinase domain variants are being identified. Ho...

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Veröffentlicht in:	PloS one 2017-02, Vol.12 (2), p.e0170822-e0170822
Hauptverfasser:	Zimmermann, Michael T, Urrutia, Raul, Oliver, Gavin R, Blackburn, Patrick R, Cousin, Margot A, Bozeck, Nicole J, Klee, Eric W
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Binding sites Biochemistry Bioinformatics Biology and Life Sciences Cancer Computer simulation Consortia Disease Dynamic structural analysis Genomics High-Throughput Nucleotide Sequencing Humans Informatics Kinases Mathematical models Modelling Molecular dynamics Molecular Dynamics Simulation Molecular modelling Mutation Phosphotransferases Physical Sciences Precision medicine Predictions Protein Domains Protein Structure, Secondary Protein-Serine-Threonine Kinases - chemistry Protein-Serine-Threonine Kinases - genetics Proteins Receptor, Transforming Growth Factor-beta Type II Receptors, Transforming Growth Factor beta - chemistry Receptors, Transforming Growth Factor beta - genetics Research and Analysis Methods Studies
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