Literature DB >> 32738982

Structure-guided optimization of a novel class of ASK1 inhibitors with increased sp3 character and an exquisite selectivity profile.

Simone V Bigi-Botterill1, Anthony Ivetac2, Erica L Bradshaw3, Derek Cole4, Douglas R Dougan5, Jacques Ermolieff4, Petro Halkowycz4, Ben Johnson6, Christopher McBride7, Jason Pickens4, Mark Sabat4, Steven Swann8.   

Abstract

Apoptosis Signal-Regulating Kinase-1 (ASK1) is a known member of the Mitogen-Activated Protein Kinase Kinase Kinase (MAP3K) family and upon stimulation will activate the p38- and JNK-pathways leading to cardiac apoptosis, fibrosis, and hypertrophy. Using Structure-Based Drug Design (SBDD) in parallel with deconstruction of a published compound, a novel series of ASK1 inhibitors was optimized, which incorporated a saturated heterocycle proximal to the hinge-binding motif. This yielded a unique chemical series with excellent selectivity across the broader kinome, and desirable drug-like properties. The lead compound (10) is highly soluble and permeable, and exhibits a cellular EC50 = 24 nM and Kd < 1 nM. Of the 350 kinases tested, 10 has an IC50 ≤ 500 nM for only eight of them. This paper will describe the design hypotheses behind this series, key data points during the optimization phase, as well as a possible structural rationale for the kinome selectivity. Based on crystallographic data, the presence of an aliphatic cycle adjacent to the hinge-binder in the active site of the protein kinase showed up in <1% of the >5000 structures in the Protein Data Bank, potentially conferring the selectivity seen in this series. Published by Elsevier Ltd.

Entities:  

Keywords:  Apoptosis Signal-Regulating Kinase-1 (ASK1); Cardiac injury; Kinome selectivity; Mitogen-Activated Protein Kinase Kinase Kinase (MAP3K); Structure-Based Drug Design (SBDD)

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Year:  2020        PMID: 32738982     DOI: 10.1016/j.bmcl.2020.127405

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  2 in total

Review 1.  Crystallographic mining of ASK1 regulators to unravel the intricate PPI interfaces for the discovery of small molecule.

Authors:  Ashish Kumar Agrahari; Madhu Dikshit; Shailendra Asthana
Journal:  Comput Struct Biotechnol J       Date:  2022-07-11       Impact factor: 6.155

2.  Multimedia Character Modeling Design and Modeling of Cartoon Animation Based on Bayesian Sequence Recommendation Algorithm.

Authors:  Hao Wu; Shi-Jiang Wen; Jong-Hoon Yang
Journal:  Comput Intell Neurosci       Date:  2022-01-10
  2 in total

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