Literature DB >> 20459125

Analysis of kinase inhibitor selectivity using a thermodynamics-based partition index.

Alan C Cheng1, John Eksterowicz, Stephanie Geuns-Meyer, Yaxiong Sun.   

Abstract

In the quest for safe, efficacious kinase inhibitors as drugs, selectivity is often assessed early using kinase profiling panels. Here we present a selectivity index based on thermodynamics principles that can help in analysis of the resulting data. The "partition" selectivity index is easy to calculate and is applicable in certain situations where other widely used indices are not. It is uniquely useful in analysis of small, focused selectivity panel data frequently encountered in medicinal chemistry hit-to-lead and lead optimization. For larger "kinome" panels, the partition index allows assessment of selectivity relative to a kinase or multiple kinases of interest.

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Year:  2010        PMID: 20459125     DOI: 10.1021/jm100301x

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


  14 in total

1.  Computational Modeling of Kinase Inhibitor Selectivity.

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

2.  Gini Coefficients as a Single Value Metric to Define Chemical Probe Selectivity.

Authors:  Andrei Ursu; Jessica L Childs-Disney; Alicia J Angelbello; Matthew G Costales; Samantha M Meyer; Matthew D Disney
Journal:  ACS Chem Biol       Date:  2020-07-09       Impact factor: 5.100

Review 3.  A guide to picking the most selective kinase inhibitor tool compounds for pharmacological validation of drug targets.

Authors:  Joost C M Uitdehaag; Folkert Verkaar; Husam Alwan; Jos de Man; Rogier C Buijsman; Guido J R Zaman
Journal:  Br J Pharmacol       Date:  2012-06       Impact factor: 8.739

4.  Target-specific compound selectivity for multi-target drug discovery and repurposing.

Authors:  Tianduanyi Wang; Otto I Pulkkinen; Tero Aittokallio
Journal:  Front Pharmacol       Date:  2022-09-23       Impact factor: 5.988

5.  Optimization of Nicotinamides as Potent and Selective IRAK4 Inhibitors with Efficacy in a Murine Model of Psoriasis.

Authors:  Satheesh Nair; Sreekantha Ratna Kumar; Venkatram Reddy Paidi; Ramesh Sistla; Durgarao Kantheti; Subba Rao Polimera; Soodamani Thangavel; Amrita Jha Mukherjee; Mitalee Das; Rajeev S Bhide; William J Pitts; Natesan Murugesan; Shailesh Dudhgoankar; Jignesh Nagar; Siva Subramani; Debarati Mazumder; Julie A Carman; Deborah A Holloway; Xin Li; Mark P Fereshteh; Stefan Ruepp; Kamalavenkatesh Palanisamy; T Thanga Mariappan; Srinivas Maddi; Ajay Saxena; Paul Elzinga; Anjaneya Chimalakonda; Qian Ruan; Kaushik Ghosh; Sucharita Bose; John Sack; Chunhong Yan; Susan E Kiefer; Dianlin Xie; John A Newitt; S Pon Saravanakumar; Richard A Rampulla; Joel C Barrish; Percy H Carter; John Hynes
Journal:  ACS Med Chem Lett       Date:  2020-06-10       Impact factor: 4.345

6.  A theoretical entropy score as a single value to express inhibitor selectivity.

Authors:  Joost C M Uitdehaag; Guido J R Zaman
Journal:  BMC Bioinformatics       Date:  2011-04-12       Impact factor: 3.169

Review 7.  Rational approaches to improving selectivity in drug design.

Authors:  David J Huggins; Woody Sherman; Bruce Tidor
Journal:  J Med Chem       Date:  2012-01-12       Impact factor: 7.446

8.  Overcoming mTOR resistance mutations with a new-generation mTOR inhibitor.

Authors:  Vanessa S Rodrik-Outmezguine; Masanori Okaniwa; Zhan Yao; Chris J Novotny; Claire McWhirter; Arpitha Banaji; Helen Won; Wai Wong; Mike Berger; Elisa de Stanchina; Derek G Barratt; Sabina Cosulich; Teresa Klinowska; Neal Rosen; Kevan M Shokat
Journal:  Nature       Date:  2016-05-18       Impact factor: 49.962

9.  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

10.  The target landscape of clinical kinase drugs.

Authors:  Susan Klaeger; Stephanie Heinzlmeir; Mathias Wilhelm; Harald Polzer; Binje Vick; Paul-Albert Koenig; Maria Reinecke; Benjamin Ruprecht; Svenja Petzoldt; Chen Meng; Jana Zecha; Katrin Reiter; Huichao Qiao; Dominic Helm; Heiner Koch; Melanie Schoof; Giulia Canevari; Elena Casale; Stefania Re Depaolini; Annette Feuchtinger; Zhixiang Wu; Tobias Schmidt; Lars Rueckert; Wilhelm Becker; Jan Huenges; Anne-Kathrin Garz; Bjoern-Oliver Gohlke; Daniel Paul Zolg; Gian Kayser; Tonu Vooder; Robert Preissner; Hannes Hahne; Neeme Tõnisson; Karl Kramer; Katharina Götze; Florian Bassermann; Judith Schlegl; Hans-Christian Ehrlich; Stephan Aiche; Axel Walch; Philipp A Greif; Sabine Schneider; Eduard Rudolf Felder; Juergen Ruland; Guillaume Médard; Irmela Jeremias; Karsten Spiekermann; Bernhard Kuster
Journal:  Science       Date:  2017-12-01       Impact factor: 47.728

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