Literature DB >> 19942586

Kinase selectivity potential for inhibitors targeting the ATP binding site: a network analysis.

Danzhi Huang1, Ting Zhou, Karine Lafleur, Cristina Nevado, Amedeo Caflisch.   

Abstract

UNLABELLED: MOTIVATION AND
METHOD: Small-molecule inhibitors targeting the adenosine triphosphate (ATP) binding pocket of the catalytic domain of protein kinases have potential to become drugs devoid of (major) side effects, particularly if they bind selectively. Here, the sequences of the 518 human kinases are first mapped onto the structural alignment of 116 kinases of known three-dimensional structure. The multiple structure alignment is then used to encode the known strategies for developing selective inhibitors into a fingerprint. Finally, a network analysis is used to partition the kinases into clusters according to similarity of their fingerprints, i.e. physico-chemical characteristics of the residues responsible for selective binding.
RESULTS: For each kinase the network analysis reveals the likelihood to find selective inhibitors targeting the ATP binding site. Systematic guidelines are proposed to develop selective inhibitors. Importantly, the network analysis suggests that the tyrosine kinase EphB4 has high selectivity potential, which is consistent with the selectivity profile of two novel EphB4 inhibitors. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19942586     DOI: 10.1093/bioinformatics/btp650

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  46 in total

1.  Comprehensive analysis of kinase inhibitor selectivity.

Authors:  Mindy I Davis; Jeremy P Hunt; Sanna Herrgard; Pietro Ciceri; Lisa M Wodicka; Gabriel Pallares; Michael Hocker; Daniel K Treiber; Patrick P Zarrinkar
Journal:  Nat Biotechnol       Date:  2011-10-30       Impact factor: 54.908

Review 2.  Targeting Eph receptors with peptides and small molecules: progress and challenges.

Authors:  Roberta Noberini; Ilaria Lamberto; Elena B Pasquale
Journal:  Semin Cell Dev Biol       Date:  2011-10-25       Impact factor: 7.727

3.  Computational Modeling of Kinase Inhibitor Selectivity.

Authors:  Govindan Subramanian; Manish Sud
Journal:  ACS Med Chem Lett       Date:  2010-07-28       Impact factor: 4.345

4.  Re-purposing clinical kinase inhibitors to enhance chemosensitivity by overriding checkpoints.

Authors:  Neil Beeharry; Eugenia Banina; James Hittle; Natalia Skobeleva; Vladimir Khazak; Sean Deacon; Mark Andrake; Brian L Egleston; Jeffrey R Peterson; Igor Astsaturov; Timothy J Yen
Journal:  Cell Cycle       Date:  2014-06-23       Impact factor: 4.534

5.  Computational study of the W260A activating mutant of Src tyrosine kinase.

Authors:  Yilin Meng; Benoît Roux
Journal:  Protein Sci       Date:  2015-07-18       Impact factor: 6.725

6.  Probing Protein Kinase-ATP Interactions Using a Fluorescent ATP Analog.

Authors:  Leslie E W LaConte; Sarika Srivastava; Konark Mukherjee
Journal:  Methods Mol Biol       Date:  2017

7.  Direct Substrate Identification with an Analog Sensitive (AS) Viral Cyclin-Dependent Kinase (v-Cdk).

Authors:  Angie C Umaña; Satoko Iwahori; Robert F Kalejta
Journal:  ACS Chem Biol       Date:  2017-12-19       Impact factor: 5.100

8.  Targeting Pim Kinases and DAPK3 to Control Hypertension.

Authors:  David A Carlson; Miriam R Singer; Cindy Sutherland; Clara Redondo; Leila T Alexander; Philip F Hughes; Stefan Knapp; Susan B Gurley; Matthew A Sparks; Justin A MacDonald; Timothy A J Haystead
Journal:  Cell Chem Biol       Date:  2018-07-19       Impact factor: 8.116

9.  Kinome chemoproteomics characterization of pyrrolo[3,4-c]pyrazoles as potent and selective inhibitors of glycogen synthase kinase 3.

Authors:  Martin Golkowski; Gayani K Perera; Venkata Narayana Vidadala; Kayode K Ojo; Wesley C Van Voorhis; Dustin J Maly; Shao-En Ong
Journal:  Mol Omics       Date:  2018-02-12

10.  A Chemical Probe for Dark Kinase STK17B Derives Its Potency and High Selectivity through a Unique P-Loop Conformation.

Authors:  Alfredo Picado; Apirat Chaikuad; Carrow I Wells; Safal Shrestha; William J Zuercher; Julie E Pickett; Frank E Kwarcinski; Parvathi Sinha; Chandi S de Silva; Reena Zutshi; Shubin Liu; Natarajan Kannan; Stefan Knapp; David H Drewry; Timothy M Willson
Journal:  J Med Chem       Date:  2020-11-20       Impact factor: 7.446

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.