Damilola A. Omoboyowa , Muhammad N. Iqbal , Toheeb A. Balogun , Damilola S. Bodun , John O. Fatoki , Oluwatoba E. Oyeneyin
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引用次数: 15
摘要
凋亡信号激酶1 (Apoptosis signal kinase 1, ASK 1)是丝裂原活化蛋白激酶(MAPK)家族的一员,可诱导包括结直肠癌(CRC)在内的细胞凋亡。结直肠癌是全球第二常见的恶性肿瘤。因此,ASK 1在CRC的发病机制中起着至关重要的作用,因此是CRC药物设计和发现的唯一靶点。本文应用计算方法,包括分子对接、分子力学/广义出生表面积计算和药代动力学模型,从天然化合物中提出假定的ASK 1拮抗剂。通过分子动力学(MD)模拟研究,鉴定了7种配体为有效抑制剂,并验证了两种最受欢迎的化合物。在Becke 3 Lee Yang Parr/6-31G(d)理论水平上进行了命中的密度泛函理论(DFT),以了解其分子反应性。7种as1拮抗剂的对接评分范围为- 9.10至- 8.14 kcal/mol,与参考配体喜树碱(-7.03 kcal/mol)相当。其中的一种化合物,气味抑制素(odoratin)在−9.10 kcal/mol的浓度下最终成为结构稳定的化合物,50 ns以上的MD模拟表明,气味抑制素与LEU 686、VAL 757和PRO 758等关键氨基酸残基形成稳定的相互作用。DFT研究表明,所研究的化合物具有供质子和接受质子的能力,因此具有较强的抑制和溶解作用。本研究的结果表明,odoratin可以被认为是一种有效的ASK 1抑制剂,并且可以通过实验验证作为寻找结直肠癌MAPK抑制剂的先导化合物。
Inhibitory potential of phytochemicals from Chromolaena odorata L. against apoptosis signal-regulatory kinase 1: A computational model against colorectal cancer
Apoptosis signal kinase 1 (ASK 1) is a member of the mitogen-activated protein kinase (MAPK) family that induces cells apoptosis including colorectal cancer (CRC). CRC is the second most common type of malignancy globally. Hence, ASK 1 plays an essential role in the pathogenesis of CRC and therefore, is an exclusive target in drug design and discovery for CRC. Herein, applied computational approaches including molecular docking, molecular mechanics/generalized born surface area calculation and pharmacokinetic models were performed to propose putative ASK 1 antagonists from natural compounds. Seven (7) ligands were identified as potent inhibitors and two top hit compounds were validated using molecular dynamics (MD) simulation studies. The density function theory (DFT) of the hits were performed at the Becke three Lee Yang Parr/6-31G(d) level of theory to understand their molecular reactivity. Seven compounds identified as ASK 1 antagonists have docking score ranging from −9.10 to −8.14 kcal/mol which is comparable to the reference ligand camptosar (-7.03 kcal/mol). One of the compounds, odoratin has finally emerged as the structurally stable compound with −9.10 kcal/mol and MD simulation over 50 ns indicated that odoratin forms stable interaction with key amino acid residues such as LEU 686, VAL 757 and PRO 758. DFT study showed that the studied compounds have proton donating and accepting ability hence, potent inhibitory and solubility effects. The findings from this study suggest that, odoratin could be considered a potent ASK 1 inhibitor and could be experimentally verified as a lead compound for search of MAPK inhibitors for colorectal cancer.
期刊介绍:
Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs