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Impacts of Pseudo Amino Acid Components and 5-steps Rule to Proteomics and Proteome Analysis.
Chou, Kuo-Chen.
Afiliação
  • Chou KC; Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Curr Top Med Chem ; 19(25): 2283-2300, 2019.
Article em En | MEDLINE | ID: mdl-31648642
Stimulated by the 5-steps rule during the last decade or so, computational proteomics has achieved remarkable progresses in the following three areas: (1) protein structural class prediction; (2) protein subcellular location prediction; (3) post-translational modification (PTM) site prediction. The results obtained by these predictions are very useful not only for an in-depth study of the functions of proteins and their biological processes in a cell, but also for developing novel drugs against major diseases such as cancers, Alzheimer's, and Parkinson's. Moreover, since the targets to be predicted may have the multi-label feature, two sets of metrics are introduced: one is for inspecting the global prediction quality, while the other for the local prediction quality. All the predictors covered in this review have a userfriendly web-server, through which the majority of experimental scientists can easily obtain their desired data without the need to go through the complicated mathematics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Proteoma / Proteômica / Aminoácidos Limite: Animals / Humans Idioma: En Revista: Curr Top Med Chem Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Proteoma / Proteômica / Aminoácidos Limite: Animals / Humans Idioma: En Revista: Curr Top Med Chem Ano de publicação: 2019 Tipo de documento: Article