Prediction and analysis of redox-sensitive cysteines using machine learning and statistical methods.

Keßler, Marcus; Wittig, Ilka; Ackermann, Jörg; Koch, Ina

Keßler, Marcus; Wittig, Ilka; Ackermann, Jörg; Koch, Ina.

Afiliação

Keßler M; Molecular Bioinformatics Group, Institute of Computer Science, Goethe-University, Robert-Mayer-Str. 11-15, 60325, Frankfurt am Main, Germany.
Wittig I; Functional Proteomics Group, Medical School, Goethe-University, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Ackermann J; Molecular Bioinformatics Group, Institute of Computer Science, Goethe-University, Robert-Mayer-Str. 11-15, 60325, Frankfurt am Main, Germany.
Koch I; Molecular Bioinformatics Group, Institute of Computer Science, Goethe-University, Robert-Mayer-Str. 11-15, 60325, Frankfurt am Main, Germany.

Biol Chem ; 402(8): 925-935, 2021 07 27.

Article em En | MEDLINE | ID: mdl-34261205

Assuntos

Proteômica; Cisteína; Oxirredução; Processamento de Proteína Pós-Traducional

Palavras-chave

cysteine; human mitochondrial complex I; machine learning; post-translational modification; proteomics; redox

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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