Identification of Novel Peptides as Potential Modulators of Aβ42 Amyloidogenesis: An in silico Approach.

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Current computer-aided drug design Pub Date : 2023-01-01 DOI:10.2174/1573409919666230112170012
Kavita Kundal, Santhosh Paramasivam, Amit Mitra, Nandini Sarkar
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Abstract

Aims: Alzheimer's disease is a neurodegenerative disease for which no cure is available. The presence of amyloid plaques in the extracellular space of neural cells is the key feature of this fatal disease.

Background: The proteolysis of Amyloid Precursor Protein by presenilin leads to the formation of Amyloid-beta peptides (Aβ 42/40). Deposition of 42 residual Aβ peptides forms fibril's structure, disrupting neuron synaptic transmission, inducing neural cell toxicity, and ultimately leading to neuron death.

Objective: Various novel peptides have been investigated via molecular docking and molecular dynamic simulation studies to investigate their effects on Aβ amyloidogenesis.

Methods: The sequence-based peptides were rationally designed and investigated for their interaction with Aβ42 monomer and fibril, and their influence on the structural stability of target proteins was studied.

Results: Analyzed docking results suggest that the peptide YRIGY (P6) has the highest binding affinity with Aβ42 fibril amongst all the synthetic peptides, and the peptide DKAPFF (P12) similarly shows a better binding with the Aβ42 monomer. Moreover, simulation results also suggest that the higher the binding affinity, the better the inhibitory action.

Conclusion: These findings indicate that both the rationally designed peptides can modulate amyloidogenesis, but peptide (P6) has better potential for the disaggregation of the fibrils. In contrast, peptide P12 stabilizes the native structure of the Aβ42 monomer more effectively and hence can serve as a potential amyloid inhibitor. Thus, these peptides can be explored as therapeutic agents against Alzheimer's disease. Experimental testing of these peptides for immunogenicity, stability in cellular conditions, toxic effects and membrane permeability can be the future research scope of this study.

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作为a - β42淀粉样蛋白形成潜在调节剂的新肽的鉴定:一种计算机方法。
目的:阿尔茨海默病是一种神经退行性疾病,目前尚无治愈方法。神经细胞胞外间隙淀粉样斑块的存在是这种致命疾病的主要特征。背景:早老素对淀粉样前体蛋白的蛋白水解导致淀粉样β肽的形成(Aβ 42/40)。42种残留的Aβ肽沉积形成原纤维结构,破坏神经元突触传递,诱导神经细胞毒性,最终导致神经元死亡。目的:通过分子对接和分子动力学模拟研究多种新型多肽对Aβ淀粉样蛋白形成的影响。方法:合理设计序列肽,考察其与Aβ42单体和原纤维的相互作用,并研究其对靶蛋白结构稳定性的影响。结果:对接分析结果表明,在所有合成肽中,肽YRIGY (P6)与a β42原纤维的结合亲和力最高,肽DKAPFF (P12)与a β42单体的结合能力也同样较好。此外,模拟结果还表明,结合亲和力越高,抑制作用越好。结论:合理设计的肽均可调节淀粉样蛋白的形成,但肽(P6)对原纤维的分解作用更大。相比之下,肽P12更有效地稳定了a β42单体的天然结构,因此可以作为潜在的淀粉样蛋白抑制剂。因此,这些肽可以作为治疗阿尔茨海默病的药物进行探索。实验测试这些肽的免疫原性、细胞稳定性、毒性作用和膜通透性可以成为本研究未来的研究范围。
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来源期刊
Current computer-aided drug design
Current computer-aided drug design 医学-计算机:跨学科应用
CiteScore
3.70
自引率
5.90%
发文量
46
审稿时长
>12 weeks
期刊介绍: Aims & Scope Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, 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 etc., providing excellent rationales for drug development.
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