vHTS, 3-D Pharmacophore, QSAR and Molecular Docking Studies for the Identification of Phyto-derived ATP-Competitive Inhibitors of the BCR-ABL Kinase Domain.

Q3 Pharmacology, Toxicology and Pharmaceutics Current drug discovery technologies Pub Date : 2022-01-01 DOI:10.2174/1570163819666211202092632
Damilohun Samuel Metibemu, Oluwatoba Emmanuel Oyeneyin, Ayorinde Omolara Metibemu, Olawole Yakubu Adeniran, Idowu Olaposi Omotuyi
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Abstract

Background: Chronic myelogenous leukaemia (CML) constitutes about 15 % of adult leukaemia and is characterized by the overproduction of immature myeloid cells.

Methods: In this study, a virtual high throughput screening (vHTS) technique was employed to screen a library of phytochemicals of reported plants having anticancer activity. A docking score of -10 kcalmol-1 was used as the cut-off for the selection of phyto-compounds for pharmacophore-based virtual screening. Statistically robust and thoroughly validated QSAR model (R = 0.914, R2 = 0.836, Adjusted R2 = 0.764, LOO-CV= 0.6680) was derived for the inhibition of BCR-ABL kinase domain.

Results: The virtual screening, pharmacophore screening, QSAR model and molecular docking techniques applied herein revealed ellagic acid, a polyphenolic compound, as a potential competitive inhibitor of the BCR-ABL kinase domain. Ellagic acid binds to the inactive ABL state and forms similar interactions with key residues within the BCR-ABL Kinase domain as obtained in ponatinib (having inhibitory effects on the ABL thr-315I mutant). It forms hydrogen bond interaction with thr-315 residue (the gatekeeper residue). It is not likely to be prone to the various mutations associated with nilotinib because of its small size.

Conclusion: The procedure of VHTs, Pharmacophore, QSAR, and molecular docking applied in this study could help in detecting more anti-CML compounds.

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BCR-ABL激酶结构域植物源性atp竞争性抑制剂的vHTS、3-D药效团、QSAR和分子对接研究。
背景:慢性髓性白血病(CML)约占成人白血病的15%,其特征是未成熟骨髓细胞的过量产生。方法:采用虚拟高通量筛选(vHTS)技术对已报道的具有抗癌活性的植物化学物质库进行筛选。对接分数-10 kcalmol-1被用作选择植物化合物进行基于药物团的虚拟筛选的截止值。在BCR-ABL激酶结构域的抑制上,建立了具有统计学稳稳性且经过充分验证的QSAR模型(R = 0.914, R2 = 0.836,调整后的R2 = 0.764, lo - cv = 0.6680)。结果:本文应用的虚拟筛选、药效团筛选、QSAR模型和分子对接技术表明,鞣花酸是一种多酚类化合物,是BCR-ABL激酶结构域的潜在竞争性抑制剂。鞣花酸结合无活性的ABL状态,并与BCR-ABL激酶结构域内的关键残基形成类似的相互作用,如ponatinib所获得的(对ABL thr3 - 315i突变体具有抑制作用)。与thr3 -315残基(看门人残基)形成氢键相互作用。它不太可能容易发生与尼罗替尼相关的各种突变,因为它的体积小。结论:本研究采用的vht、药效团、QSAR和分子对接方法有助于检测更多抗cml化合物。
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来源期刊
Current drug discovery technologies
Current drug discovery technologies Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
3.70
自引率
0.00%
发文量
48
期刊介绍: Due to the plethora of new approaches being used in modern drug discovery by the pharmaceutical industry, Current Drug Discovery Technologies has been established to provide comprehensive overviews of all the major modern techniques and technologies used in drug design and discovery. The journal is the forum for publishing both original research papers and reviews describing novel approaches and cutting edge technologies used in all stages of drug discovery. The journal addresses the multidimensional challenges of drug discovery science including integration issues of the drug discovery process.
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