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Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors.
Xerxa, Elena; Bajorath, Jürgen.
Afiliação
  • Xerxa E; Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology & Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53113 Bonn, Germany.
  • Bajorath J; Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology & Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53113 Bonn, Germany.
Future Sci OA ; 9(9): FSO892, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37752915
Protein kinases are proteins that play a role in how cells grow. In cancer cells, protein kinases are altered, which can cause abnormal growth. Protein kinase inhibitors (PKIs) specifically target protein kinases and are considered for treating different diseases, like cancer. In this study, we investigated a large number of PKIs that are available to the public to find ones with reliable activity data. We aim to understand how their structure affects their activity, including how these compounds bind to protein kinases. This helps us to identify different types of PKIs. Understanding PKIs is important for both basic research in the protein kinase field and drug discovery.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Future Sci OA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Future Sci OA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha