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Discovering the landscape of protein modifications.
Keenan, E Keith; Zachman, Derek K; Hirschey, Matthew D.
Afiliação
  • Keenan EK; Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA; Department of Pharmacology & Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA.
  • Zachman DK; Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA.
  • Hirschey MD; Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA; Department of Pharmacology & Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA; Division of Endocrinology, Metabolism, & Nutrition, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: matthew.hirschey@duke.edu.
Mol Cell ; 81(9): 1868-1878, 2021 05 06.
Article em En | MEDLINE | ID: mdl-33798408
ABSTRACT
Protein modifications modulate nearly every aspect of cell biology in organisms, ranging from Archaea to Eukaryotes. The earliest evidence of covalent protein modifications was found in the early 20th century by studying the amino acid composition of proteins by chemical hydrolysis. These discoveries challenged what defined a canonical amino acid. The advent and rapid adoption of mass-spectrometry-based proteomics in the latter part of the 20th century enabled a veritable explosion in the number of known protein modifications, with more than 500 discrete modifications counted today. Now, new computational tools in data science, machine learning, and artificial intelligence are poised to allow researchers to make significant progress in discovering new protein modifications and determining their function. In this review, we take an opportunity to revisit the historical discovery of key post-translational modifications, quantify the current landscape of covalent protein adducts, and assess the role that new computational tools will play in the future of this field.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article