Literature DB >> 25596550

Extending kinome coverage by analysis of kinase inhibitor broad profiling data.

Edgar Jacoby1, Gary Tresadern2, Scott Bembenek3, Berthold Wroblowski2, Christophe Buyck2, Jean-Marc Neefs2, Dmitrii Rassokhin4, Alain Poncelet5, Jeremy Hunt6, Herman van Vlijmen7.   

Abstract

The explored kinome was extended with broad profiling using the DiscoveRx and Millipore assay panels. The analysis of the profiling of 3368 selected inhibitors on 456 kinases in the DiscoveRx format delivered several insights. First, the coverage depended on the threshold of the selectivity parameter. Second, the relation between hit confirmation rates and inhibitor selectivity showed unexpectedly that higher selectivity can increase the likelihood of false positives. Third, comparing the coverage of a focused to that of a random library showed that the design based on a maximum number of scaffolds was superior to a limited number of scaffolds. Therefore, selective compounds can be used in target validation, enable the jumpstarting of new kinase drug discovery projects, and chart new biological space via phenotypic screening.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Mesh:

Substances:

Year:  2015        PMID: 25596550     DOI: 10.1016/j.drudis.2015.01.002

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  20 in total

1.  Computational chemistry at Janssen.

Authors:  Herman van Vlijmen; Renee L Desjarlais; Tara Mirzadegan
Journal:  J Comput Aided Mol Des       Date:  2016-12-19       Impact factor: 3.686

2.  Delineation of Polypharmacology across the Human Structural Kinome Using a Functional Site Interaction Fingerprint Approach.

Authors:  Zheng Zhao; Li Xie; Lei Xie; Philip E Bourne
Journal:  J Med Chem       Date:  2016-03-17       Impact factor: 7.446

Review 3.  Non-kinase targets of protein kinase inhibitors.

Authors:  Lenka Munoz
Journal:  Nat Rev Drug Discov       Date:  2017-03-10       Impact factor: 84.694

4.  Prediction of intracellular exposure bridges the gap between target- and cell-based drug discovery.

Authors:  André Mateus; Laurie J Gordon; Gareth J Wayne; Helena Almqvist; Hanna Axelsson; Brinton Seashore-Ludlow; Andrea Treyer; Pär Matsson; Thomas Lundbäck; Andy West; Michael M Hann; Per Artursson
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-12       Impact factor: 11.205

5.  Open PHACTS computational protocols for in silico target validation of cellular phenotypic screens: knowing the knowns.

Authors:  D Digles; B Zdrazil; J-M Neefs; H Van Vlijmen; C Herhaus; A Caracoti; J Brea; B Roibás; M I Loza; N Queralt-Rosinach; L I Furlong; A Gaulton; L Bartek; S Senger; C Chichester; O Engkvist; C T Evelo; N I Franklin; D Marren; G F Ecker; E Jacoby
Journal:  Medchemcomm       Date:  2016-05-11       Impact factor: 3.597

Review 6.  Translational Prospects and Challenges in Human Induced Pluripotent Stem Cell Research in Drug Discovery.

Authors:  Masaki Hosoya; Katherine Czysz
Journal:  Cells       Date:  2016-12-21       Impact factor: 6.600

7.  The use of novel selectivity metrics in kinase research.

Authors:  Nicolas Bosc; Christophe Meyer; Pascal Bonnet
Journal:  BMC Bioinformatics       Date:  2017-01-05       Impact factor: 3.169

8.  Data driven polypharmacological drug design for lung cancer: analyses for targeting ALK, MET, and EGFR.

Authors:  Dilip Narayanan; Osman A B S M Gani; Franz X E Gruber; Richard A Engh
Journal:  J Cheminform       Date:  2017-07-04       Impact factor: 5.514

Review 9.  Polypharmacology in Precision Oncology: Current Applications and Future Prospects.

Authors:  Albert A Antolin; Paul Workman; Jordi Mestres; Bissan Al-Lazikani
Journal:  Curr Pharm Des       Date:  2016       Impact factor: 3.116

10.  Identification of Bexarotene as a PPARγ Antagonist with HDX.

Authors:  David P Marciano; Dana S Kuruvilla; Bruce D Pascal; Patrick R Griffin
Journal:  PPAR Res       Date:  2015-09-15       Impact factor: 4.964

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.