Literature DB >> 17100584

Protein kinase inhibition: different approaches to selective inhibitor design.

Giovanna Scapin1.   

Abstract

Protein kinases represent a large family of enzymes involved in regulating complex molecular machineries that control many cellular functions, from survival and proliferation to apoptosis. Abnormal protein kinase activity has been involved in a variety of pathophysiologic states, including cancer, inflammatory and autoimmune disorders, and cardiac diseases, and protein kinases have become one of the major therapeutical targets of the past 10 years. The major problem associated with ATP-competitive kinase inhibition is target specificity, since many other enzymes, kinases and not-kinases alike, utilize ATP: less specific inhibitors would be expected to exhibit undesirable toxicities that would limit their potential utility as therapeutic agents. The purpose of this review is to offer the reader an idea of the evolution of the methodologies utilized in the quest for selective kinase inhibitors, from the more traditional, screening-based methods to the newer technology of chemogenomics, proteomics and chemical genetics.

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Year:  2006        PMID: 17100584     DOI: 10.2174/1389450110607011443

Source DB:  PubMed          Journal:  Curr Drug Targets        ISSN: 1389-4501            Impact factor:   3.465


  15 in total

1.  Constitutive PKA activity is essential for maintaining the excitability and contractility in guinea pig urinary bladder smooth muscle: role of the BK channel.

Authors:  Wenkuan Xin; Ning Li; Qiuping Cheng; Vitor S Fernandes; Georgi V Petkov
Journal:  Am J Physiol Cell Physiol       Date:  2014-10-15       Impact factor: 4.249

2.  Targeting plague virulence factors: a combined machine learning method and multiple conformational virtual screening for the discovery of Yersinia protein kinase A inhibitors.

Authors:  Xin Hu; Gerd Prehna; C Erec Stebbins
Journal:  J Med Chem       Date:  2007-08-03       Impact factor: 7.446

3.  Specificity in molecular design: a physical framework for probing the determinants of binding specificity and promiscuity in a biological environment.

Authors:  Mala L Radhakrishnan; Bruce Tidor
Journal:  J Phys Chem B       Date:  2007-11-03       Impact factor: 2.991

4.  Measuring and interpreting the selectivity of protein kinase inhibitors.

Authors:  Lynette A Smyth; Ian Collins
Journal:  J Chem Biol       Date:  2009-06-06

5.  Optimal drug cocktail design: methods for targeting molecular ensembles and insights from theoretical model systems.

Authors:  Mala L Radhakrishnan; Bruce Tidor
Journal:  J Chem Inf Model       Date:  2008-05-27       Impact factor: 4.956

6.  Substrate activity screening with kinases: discovery of small-molecule substrate-competitive c-Src inhibitors.

Authors:  Meghan E Breen; Michael E Steffey; Eric J Lachacz; Frank E Kwarcinski; Christel C Fox; Matthew B Soellner
Journal:  Angew Chem Int Ed Engl       Date:  2014-05-02       Impact factor: 15.336

Review 7.  Targeting ERK beyond the boundaries of the kinase active site in melanoma.

Authors:  Rachel M Sammons; Ranajeet Ghose; Kenneth Y Tsai; Kevin N Dalby
Journal:  Mol Carcinog       Date:  2019-06-12       Impact factor: 4.784

8.  A Novel Class of Common Docking Domain Inhibitors That Prevent ERK2 Activation and Substrate Phosphorylation.

Authors:  Rachel M Sammons; Nicole A Perry; Yangmei Li; Eun Jeong Cho; Andrea Piserchio; Diana P Zamora-Olivares; Ranajeet Ghose; Tamer S Kaoud; Ginamarie Debevec; Chandra Bartholomeusz; Vsevolod V Gurevich; Tina M Iverson; Marc Giulianotti; Richard A Houghten; Kevin N Dalby
Journal:  ACS Chem Biol       Date:  2019-05-13       Impact factor: 5.100

9.  Multiplexed random peptide library and phospho-specific antibodies facilitate human polo-like kinase 1 inhibitor screen.

Authors:  Kenji Tanaka; Mitsunori Koresawa; Masato Iida; Kazuhiro Fukasawa; Erica Stec; Jason Cassaday; Peter Chase; Keith Rickert; Peter Hodder; Toshimitsu Takagi; Hideya Komatani
Journal:  Assay Drug Dev Technol       Date:  2010-02       Impact factor: 1.738

10.  Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear and non-linear data analysis techniques.

Authors:  Maris Lapins; Jarl Es Wikberg
Journal:  BMC Bioinformatics       Date:  2010-06-22       Impact factor: 3.169

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