Literature DB >> 19035792

Assessment of chemical coverage of kinome space and its implications for kinase drug discovery.

Paul Bamborough1, David Drewry, Gavin Harper, Gary K Smith, Klaus Schneider.   

Abstract

More than 500 compounds chosen to represent kinase inhibitor space have been screened against a panel of over 200 protein kinases. Significant results include the identification of hits against new kinases including PIM1 and MPSK1, and the expansion of the inhibition profiles of several literature compounds. A detailed analysis of the data through the use of affinity fingerprints has produced findings with implications for biological target selection, the choice of tool compounds for target validation, and lead discovery and optimization. In a detailed examination of the tyrosine kinases, interesting relationships have been found between targets and compounds. Taken together, these results show how broad cross-profiling can provide important insights to assist kinase drug discovery.

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Year:  2008        PMID: 19035792     DOI: 10.1021/jm8011036

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  51 in total

1.  Development and implementation of (Q)SAR modeling within the CHARMMing web-user interface.

Authors:  Iwona E Weidlich; Yuri Pevzner; Benjamin T Miller; Igor V Filippov; H Lee Woodcock; Bernard R Brooks
Journal:  J Comput Chem       Date:  2014-11-03       Impact factor: 3.376

2.  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

3.  Comprehensive characterization of the Published Kinase Inhibitor Set.

Authors:  Jonathan M Elkins; Vita Fedele; Marta Szklarz; Kamal R Abdul Azeez; Eidarus Salah; Jowita Mikolajczyk; Sergei Romanov; Nikolai Sepetov; Xi-Ping Huang; Bryan L Roth; Ayman Al Haj Zen; Denis Fourches; Eugene Muratov; Alex Tropsha; Joel Morris; Beverly A Teicher; Mark Kunkel; Eric Polley; Karen E Lackey; Francis L Atkinson; John P Overington; Paul Bamborough; Susanne Müller; Daniel J Price; Timothy M Willson; David H Drewry; Stefan Knapp; William J Zuercher
Journal:  Nat Biotechnol       Date:  2015-10-26       Impact factor: 54.908

4.  Computational Modeling of Kinase Inhibitor Selectivity.

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

5.  Synthesis and Structure-Activity Relationships of 3,5-Disubstituted-pyrrolo[2,3- b]pyridines as Inhibitors of Adaptor-Associated Kinase 1 with Antiviral Activity.

Authors:  Sven Verdonck; Szu-Yuan Pu; Fiona J Sorrell; Jon M Elkins; Mathy Froeyen; Ling-Jie Gao; Laura I Prugar; Danielle E Dorosky; Jennifer M Brannan; Rina Barouch-Bentov; Stefan Knapp; John M Dye; Piet Herdewijn; Shirit Einav; Steven De Jonghe
Journal:  J Med Chem       Date:  2019-06-12       Impact factor: 7.446

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

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

7.  Navigating the kinome.

Authors:  James T Metz; Eric F Johnson; Niru B Soni; Philip J Merta; Lemma Kifle; Philip J Hajduk
Journal:  Nat Chem Biol       Date:  2011-02-20       Impact factor: 15.040

8.  The (un)targeted cancer kinome.

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

9.  Kinome-wide activity modeling from diverse public high-quality data sets.

Authors:  Stephan C Schürer; Steven M Muskal
Journal:  J Chem Inf Model       Date:  2013-01-09       Impact factor: 4.956

10.  Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators.

Authors:  Bernd Bodenmiller; Eli R Zunder; Rachel Finck; Tiffany J Chen; Erica S Savig; Robert V Bruggner; Erin F Simonds; Sean C Bendall; Karen Sachs; Peter O Krutzik; Garry P Nolan
Journal:  Nat Biotechnol       Date:  2012-09       Impact factor: 54.908

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