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System-Wide Profiling by Proteome Integral Solubility Alteration Assay of Drug Residence Times for Target Characterization.
Sabatier, Pierre; Beusch, Christian M; Meng, Zhaowei; Zubarev, Roman A.
Afiliação
  • Sabatier P; Division of Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm17177, Sweden.
  • Beusch CM; Department of Surgical Sciences, Uppsala University, Uppsala751 85, Sweden.
  • Meng Z; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen2200, Denmark.
  • Zubarev RA; Division of Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm17177, Sweden.
Anal Chem ; 94(45): 15772-15780, 2022 11 15.
Article em En | MEDLINE | ID: mdl-36377428
Most drugs are used in the clinic and drug candidate target multiple proteins, and thus detailed characterization of their efficacy targets is required. While current methods rely on quantitative measurements at thermodynamic equilibrium, kinetic parameters such as the residence time of a drug on its target provide a better proxy for efficacy in vivo. Here, we present a residence time proteome integral solubility alteration (ResT-PISA) assay, which facilitates monitoring temporal protein solubility profiles after drug removal ("off-curve") in cell lysates or intact cells, quantifying the lifetime of drug-target interaction. A compressed version of the assay measures the integral under the off-curve enabling the multiplexing of binding affinity and residence time assessments into a single proteomic analysis. We introduce a combined scoring system for three parametric dimensions to improve prioritization of targets. By providing complementary information to other characteristics of drug-target interaction, the ResT-PISA approach will be useful in drug development and precision medicine.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteoma / Proteômica Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteoma / Proteômica Idioma: En Ano de publicação: 2022 Tipo de documento: Article