The Kinase Chemogenomic Set (KCGS): An open science resource for kinase vulnerability identification

Autor: Jinhua Wang, Kumar Singh Saikatendu, Christopher R. M. Asquith, Nathanael S. Gray, Timothy M. Willson, Caitlin E. Mills, Daniel K. Treiber, Stephanie B Hatch, Daniel Ebner, William J. Zuercher, Martin Schröder, Kristijan Ramadan, Alison D. Axtman, Peter Ettmayer, David M. Andrews, Santiago Vilar, Alfredo Picado, Shudong Lee, Michael R. Michaelides, Brandon J. Turunen, Dafydd R. Owen, David H. Drewry, Mathias Frederiksen, J.M. Elkins, Christian Fischer, Ivan Dikic, Susanne Müller, Hassan Al-Ali, Stefan Knapp, Carrow I. Wells, Ulrich Lücking, Mirra Chung, Alexandra Stolz, Maria Tellechea
Jazyk: angličtina
Rok vydání: 2019
Předmět:
DOI: 10.1101/2019.12.22.886523
Popis: We describe the assembly and annotation of a chemogenomic set of protein kinase inhibitors as an open science resource for studying kinase biology. The set only includes inhibitors that show potent kinase inhibition and a narrow spectrum of activity when screened across a large panel of kinase biochemical assays. Currently, the set contains 187 inhibitors that cover 215 human kinases. The kinase chemogenomic set (KCGS) is the most highly annotated set of selective kinase inhibitors available to researchers for use in cell-based screens.
Databáze: OpenAIRE