Computational screening of foxtail millet (Setaria italica (L.) P.Beauv.) polyphenols for finding β-secretase (BACE 1) inhibitors that target the amyloidogenic pathway in Alzheimer’s disease

Srinivasulu Cheemanapalli, Ramanjaneyulu Golla, Jagadeeswar Reddy Koyyagura, Yugandhar Pulicherla, Yashpal Bhardwaj, Birina Bhuyan, Mumtam Taboh, Shiddamallayya Nagayya, Rajeswara Reddy Saddala
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Abstract

Abstract BACKGROUND: Foxtail millet (FM; Setaria italica (L.) P.Beauv.) is known for its antioxidant and neuroprotective action against Alzheimer's disease (AD); hence the present study aims to screen its polyphenols to find less toxic and potentially effective anti-Alzheimer's drugs. MATERIALS AND METHODS: The details about phyto-compounds of FM and the β-secretase enzyme (BACE 1) of AD have been retrieved from the PubChem compound database and protein data bank, respectively. The Patch Dock server was used to carry out docking experiments. Initially, all the FM phytocompounds and reference drug (MK-8931) were subjected to docking, and subsequently, the best-docked complexes were selected based on their binding energy (in kcal/mol). Rule of five and adsorption, distribution, metabolism, excretion, and toxicity (ADMET) of selected compounds were analyzed using various computational tools. The final docking complexes were developed by using PyMOL. RESULTS: The molecular docking results revealed that among the 24 polyphenols studied, two compounds, namely N′-p-coumaroyl-N″-caffeoylspermidine (NPCNCS) and di-P-coumaroylspermidine (DPCS), demonstrated strong binding to the active site of β-secretase. and exhibited higher binding energies of -300.75 kcal/mol and -193.41 kcal/mol, respectively, in comparison to the reference drug MK-8931, with a binding energy of -154.36 kcal/mol. These compounds established hydrogen bond interactions with catalytic dyad (Asp 32 and Asp 228) and other accessory interactions with residues of the “flap” hairpin loop and “10s loop” of the β-secretase active site involved in the stabilization of substrate/inhibitor binding. In a nutshell, the NPCNCS and DPCS have shown more robust binding affinity than MK-8931 and docked well into the interior side of the active site. On the other hand, NPCNCS and DPCS have satisfied the RO5 and ADMET filters. CONCLUSIONS: The in silico analysis of FM polyphenols revealed that the N′-p-coumaroyl-N″-feruloylspermidine and di-P-coumaroylspermidine compounds exhibited non-toxic, permeability to blood-brain barrier and solid binding affinity toward β-secretase enzyme thereby; these millet compounds might be considered as β-secretase inhibitors for treating AD.
谷子(Setaria italica, L.)的计算筛选P.Beauv.)多酚在阿尔茨海默病中寻找β-分泌酶(BACE 1)抑制剂靶向淀粉样蛋白生成途径
背景:谷子;狗尾草(L.)P.Beauv.)以抗氧化和抗阿尔茨海默病(AD)的神经保护作用而闻名;因此,本研究旨在筛选其多酚,以寻找毒性较小且可能有效的抗阿尔茨海默氏症药物。材料与方法:分别从PubChem化合物数据库和蛋白质数据库中检索到FM植物化合物和AD β-分泌酶(BACE 1)的详细信息。利用Patch Dock服务器进行对接实验。首先,将所有FM植物化合物与参比药物(MK-8931)进行对接,然后根据结合能(kcal/mol)选择最佳对接配合物。利用各种计算工具分析了所选化合物的吸附、分布、代谢、排泄和毒性(ADMET)。最终的对接配合物是用PyMOL开发的。结果:分子对接结果显示,在研究的24种多酚中,N′-对香豆醇-N″-咖啡酰基亚精胺(NPCNCS)和二对香豆醇酰基亚精胺(DPCS)两种化合物与β-分泌酶活性位点结合较强。其结合能分别为-300.75 kcal/mol和-193.41 kcal/mol,高于参比药物MK-8931的-154.36 kcal/mol。这些化合物与催化二联体(Asp 32和Asp 228)建立了氢键相互作用,并与参与稳定底物/抑制剂结合的β-分泌酶活性位点的“flap”发夹环和“10s环”残基建立了其他辅助相互作用。简而言之,NPCNCS和DPCS表现出比MK-8931更强的结合亲和力,并且可以很好地停靠在活性位点的内部。另一方面,NPCNCS和DPCS满足RO5和ADMET滤波器的要求。结论:FM多酚的硅晶分析表明,N′-对香豆醇-N″-阿魏酰基亚精胺和二对香豆醇酰基亚精胺化合物具有无毒、通透血脑屏障和与β-分泌酶的固体结合亲和力;这些谷子化合物可能被认为是治疗AD的β-分泌酶抑制剂。
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