Literature DB >> 21375264

Discovery of 6-(2,4-difluorophenoxy)-2-[3-hydroxy-1-(2-hydroxyethyl)propylamino]-8-methyl-8H-pyrido[2,3-d]pyrimidin-7-one (pamapimod) and 6-(2,4-difluorophenoxy)-8-methyl-2-(tetrahydro-2H-pyran-4-ylamino)pyrido[2,3-d]pyrimidin-7(8H)-one (R1487) as orally bioavailable and highly selective inhibitors of p38α mitogen-activated protein kinase.

David M Goldstein1, Michael Soth, Tobias Gabriel, Nolan Dewdney, Andreas Kuglstatter, Humberto Arzeno, Jeffrey Chen, William Bingenheimer, Stacie A Dalrymple, James Dunn, Robert Farrell, Sandra Frauchiger, JoAnn La Fargue, Manjiri Ghate, Bradford Graves, Ronald J Hill, Fujun Li, Renee Litman, Brad Loe, Joel McIntosh, Daniel McWeeney, Eva Papp, Jaehyeon Park, Harlan F Reese, Richard T Roberts, David Rotstein, Bong San Pablo, Keshab Sarma, Martin Stahl, Man-Ling Sung, Rebecca T Suttman, Eric B Sjogren, Yunchou Tan, Alejandra Trejo, Mary Welch, Paul Weller, Brian R Wong, Hasim Zecic.   

Abstract

The development of a new series of p38α inhibitors resulted in the identification of two clinical candidates, one of which was advanced into a phase 2 clinical study for rheumatoid arthritis. The original lead, an lck inhibitor that also potently inhibited p38α, was a screening hit from our kinase inhibitor library. This manuscript describes the optimization of the lead to p38-selective examples with good pharmacokinetic properties.

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Year:  2011        PMID: 21375264     DOI: 10.1021/jm101423y

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


  9 in total

1.  Virtual screening using a conformationally flexible target protein: models for ligand binding to p38α MAPK.

Authors:  Natalie B Vinh; Jamie S Simpson; Peter J Scammells; David K Chalmers
Journal:  J Comput Aided Mol Des       Date:  2012-04-20       Impact factor: 3.686

2.  Optimization and Evaluation of Site-Identification by Ligand Competitive Saturation (SILCS) as a Tool for Target-Based Ligand Optimization.

Authors:  Vincent D Ustach; Sirish Kaushik Lakkaraju; Sunhwan Jo; Wenbo Yu; Wenjuan Jiang; Alexander D MacKerell
Journal:  J Chem Inf Model       Date:  2019-05-08       Impact factor: 4.956

3.  Use of a Machine Learning-Based High Content Analysis Approach to Identify Photoreceptor Neurite Promoting Molecules.

Authors:  John A Fuller; Cynthia A Berlinicke; James Inglese; Donald J Zack
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

4.  Estimation of relative free energies of binding using pre-computed ensembles based on the single-step free energy perturbation and the site-identification by Ligand competitive saturation approaches.

Authors:  E Prabhu Raman; Sirish Kaushik Lakkaraju; Rajiah Aldrin Denny; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2016-10-26       Impact factor: 3.376

5.  Impact of electronic polarizability on protein-functional group interactions.

Authors:  Himanshu Goel; Wenbo Yu; Vincent D Ustach; Asaminew H Aytenfisu; Delin Sun; Alexander D MacKerell
Journal:  Phys Chem Chem Phys       Date:  2020-04-06       Impact factor: 3.676

6.  Variational Method for Networkwide Analysis of Relative Ligand Binding Free Energies with Loop Closure and Experimental Constraints.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Theory Comput       Date:  2021-02-02       Impact factor: 6.006

7.  A systematic analysis of atomic protein-ligand interactions in the PDB.

Authors:  Renato Ferreira de Freitas; Matthieu Schapira
Journal:  Medchemcomm       Date:  2017-09-26       Impact factor: 3.597

8.  Assessing the effect of forcefield parameter sets on the accuracy of relative binding free energy calculations.

Authors:  Shan Sun; David J Huggins
Journal:  Front Mol Biosci       Date:  2022-09-12

9.  Rapid and accurate estimation of protein-ligand relative binding affinities using site-identification by ligand competitive saturation.

Authors:  Himanshu Goel; Anthony Hazel; Vincent D Ustach; Sunhwan Jo; Wenbo Yu; Alexander D MacKerell
Journal:  Chem Sci       Date:  2021-05-25       Impact factor: 9.825

  9 in total

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