Structure-based design of alicyclic fused pyrazole derivatives for targeting TGF-β receptor I kinase: molecular docking and dynamics insights

IF 3.1 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Natarajan Saravanakumar, Arunagiri Sivanesan Aruna Poorani, Ganesapandian Latha, Anantha Krishnan Dhanabalan, Srimari Srikanth, Venkatasubramanian Ulaganathan, Palaniswamy Suresh
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Abstract

TGF-β receptor I kinase plays a significant role in cancer biology and is a well-established target for cancer drug development, as evidenced by active molecules like Galunisertib (LY2157229). Computational studies were conducted to analyse the catalytic site of TGF-β receptor I kinase, identifying key amino acid residues essential for binding. Based on these findings, Alicyclic fused pyrazole derivatives were designed. The target molecules were synthesized through a multi-step process, with an important intermediate obtained via Suzuki coupling, followed by various ligand and catalyst optimizations. A total of thirteen molecules were synthesized by optimizing temperature, solvent, and base. After characterization, the synthesized, Alicyclic fused pyrazole derivatives were screened for TGF-β receptor I kinase inhibition and in vitro cytotoxic activity. To further elucidate their binding mechanism, molecular docking and molecular dynamics studies were performed. The most active compound 16c, was subjected to in silico ADME screening, which revealed a favorable pharmacokinetic profile. Molecular Dynamics simulation study indicated that specific aminoacid residue interaction with TGF-β receptor I kinase. Additionally, DFT calculations were conducted on the active molecules to gain deeper insights into their electronic properties, supporting their potential as effective anticancer agents.

Abstract Image

Abstract Image

靶向TGF-β受体I激酶的脂环融合吡唑衍生物基于结构的设计:分子对接和动力学见解
TGF-β受体I激酶在癌症生物学中发挥着重要作用,是癌症药物开发的一个成熟靶点,Galunisertib (LY2157229)等活性分子证明了这一点。通过计算研究分析TGF-β受体I激酶的催化位点,确定结合所必需的关键氨基酸残基。在此基础上,设计了脂环融合吡唑衍生物。目标分子的合成经过多步骤的过程,首先通过Suzuki偶联获得一个重要的中间体,然后进行各种配体和催化剂的优化。通过优化温度、溶剂和碱,共合成了13个分子。鉴定后,对合成的脂环类融合吡唑衍生物进行TGF-β受体I激酶抑制和体外细胞毒活性筛选。为了进一步阐明它们的结合机制,我们进行了分子对接和分子动力学研究。其中最有效的化合物16c进行了计算机ADME筛选,结果显示其具有良好的药代动力学特征。分子动力学模拟研究表明,特异性氨基酸残基与TGF-β受体I激酶相互作用。此外,对活性分子进行了DFT计算,以更深入地了解它们的电子特性,支持它们作为有效抗癌剂的潜力。
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来源期刊
Journal of Computer-Aided Molecular Design
Journal of Computer-Aided Molecular Design 生物-计算机:跨学科应用
CiteScore
8.00
自引率
8.60%
发文量
56
审稿时长
3 months
期刊介绍: The Journal of Computer-Aided Molecular Design provides a form for disseminating information on both the theory and the application of computer-based methods in the analysis and design of molecules. The scope of the journal encompasses papers which report new and original research and applications in the following areas: - theoretical chemistry; - computational chemistry; - computer and molecular graphics; - molecular modeling; - protein engineering; - drug design; - expert systems; - general structure-property relationships; - molecular dynamics; - chemical database development and usage.
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