Your browser doesn't support javascript.
loading
Solvent-induced proteome profiling for proteomic quantitation and target discovery of small molecular drugs.
Yu, Chengli; Chen, Xiuzhen; Xu, Weiwei; Li, Simin; Chai, Qian; Zhang, Yinan.
Afiliação
  • Yu C; Jiangsu Key Laboratory for Functional Substances of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
  • Chen X; Jiangsu Key Laboratory for Functional Substances of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
  • Xu W; Jiangsu Key Laboratory for Functional Substances of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
  • Li S; Jiangsu Key Laboratory for Functional Substances of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
  • Chai Q; Jiangsu Key Laboratory for Functional Substances of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
  • Zhang Y; Jiangsu Key Laboratory for Functional Substances of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Proteomics ; 23(12): e2200281, 2023 06.
Article em En | MEDLINE | ID: mdl-36843329
ABSTRACT
Target identification by modification-free proteomic approaches can potentially reveal the pharmacological mechanism of small molecular compounds. By combining the recent solvent-induced protein precipitation (SIP) method with TMT-labeling quantitative proteomics, we propose solvent-induced proteome profiling (SIPP) approach to identify small molecule-protein interactions. The SIPP approach enables to depict denaturation curves of the target protein by varying concentrations of organic solvents to induce unfolding and precipitation of the cellular proteome. By using this approach, we have successfully identified the known targets of market drugs and natural products and extended the proteome information of SIP for target identification.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteoma / Proteômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteoma / Proteômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article