Literature DB >> 18267130

Doing more than just the structure-structural genomics in kinase drug discovery.

Brian D Marsden1, Stefan Knapp.   

Abstract

Structural genomics (SG) has significantly increased the number of novel protein structures of targets with medical relevance. In the protein kinase area, SG has contributed >50% of all novel kinases structures during the past three years and determined more than 30 novel catalytic domain structures. Many of the released structures are inhibitor complexes and a number of them have identified new inhibitor binding modes and scaffolds. In addition, generated reagents, assays, and inhibitor screening data provide a diversity of chemogenomic data that can be utilized for early drug development. Here we discuss the currently available structural data for the kinase family considering novel structures as well as inhibitor complexes. Our analysis revealed that the structural coverage of many kinases families is still rather poor, and inhibitor complexes with diverse inhibitors are only available for a few kinases. However, we anticipate that with the current rate of structure determination and high throughput technologies developed by SG programs these gaps will be closed soon. In addition, the generated reagents will put SG initiatives in a unique position providing data beyond protein structure determination by identifying chemical probes, determining their binding modes and target specificity.

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Year:  2008        PMID: 18267130     DOI: 10.1016/j.cbpa.2008.01.042

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  14 in total

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

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

2.  The (un)targeted cancer kinome.

Authors:  Oleg Fedorov; Susanne Müller; Stefan Knapp
Journal:  Nat Chem Biol       Date:  2010-03       Impact factor: 15.040

Review 3.  Mechanisms of drug resistance in kinases.

Authors:  Rina Barouch-Bentov; Karsten Sauer
Journal:  Expert Opin Investig Drugs       Date:  2011-02       Impact factor: 6.206

4.  Comprehensive structural and functional characterization of the human kinome by protein structure modeling and ligand virtual screening.

Authors:  Michal Brylinski; Jeffrey Skolnick
Journal:  J Chem Inf Model       Date:  2010-10-25       Impact factor: 4.956

5.  Investigating combinatorial approaches in virtual screening on human inducible 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFKFB3): a case study for small molecule kinases.

Authors:  Robert B Crochet; Michael C Cavalier; Minsuh Seo; Jeong Do Kim; Young-Sun Yim; Seung-Jong Park; Yong-Hwan Lee
Journal:  Anal Biochem       Date:  2011-07-02       Impact factor: 3.365

6.  Cross-reactivity virtual profiling of the human kinome by X-react(KIN): a chemical systems biology approach.

Authors:  Michal Brylinski; Jeffrey Skolnick
Journal:  Mol Pharm       Date:  2010-11-08       Impact factor: 4.939

Review 7.  A review on structural genomics approach applied for drug discovery against three vector-borne viral diseases: Dengue, Chikungunya and Zika.

Authors:  Shobana Sundar; Shanmughavel Piramanayagam; Jeyakumar Natarajan
Journal:  Virus Genes       Date:  2022-04-08       Impact factor: 2.332

8.  An overview of the PubChem BioAssay resource.

Authors:  Yanli Wang; Evan Bolton; Svetlana Dracheva; Karen Karapetyan; Benjamin A Shoemaker; Tugba O Suzek; Jiyao Wang; Jewen Xiao; Jian Zhang; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2009-11-19       Impact factor: 16.971

Review 9.  Insights into protein kinase regulation and inhibition by large scale structural comparison.

Authors:  Jeyanthy Eswaran; Stefan Knapp
Journal:  Biochim Biophys Acta       Date:  2009-10-22

10.  Kinome Render: a stand-alone and web-accessible tool to annotate the human protein kinome tree.

Authors:  Matthieu Chartier; Thierry Chénard; Jonathan Barker; Rafael Najmanovich
Journal:  PeerJ       Date:  2013-08-08       Impact factor: 2.984

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