Novel Generated Peptides for COVID-19 Targets

Allison M. Rossetto, Wenjin Zhou
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引用次数: 1

Abstract

With the world in the midst of a global pandemic, it is important to be able to quickly generate new drug-like compounds for drug research purposes. While some successful work has been done [3, 6] there is still much work to be done, especially as viruses like Coronavirus are notoriously hard to treat. Since peptide drugs are generally better at blocking protein-protein interactions than small molecule drugs [5], something important in anti-viral work, we will use our GANDALF methodology to generate new peptides to interact with targets of interest. Here we are working with two important COVID-19 targets: the SARS-CoV-2 main protease (M[Pro]) and the andangiotensin-converting enzyme 2 (ACE2). Covid-19 is able to enter human cells via interaction between its spike protein and ACE2 and, once in the cell, MPro breaks down polyproteins to create more of the virus [1]. We have generated peptides for each of our targets using our GANDALF (Generative Adversarial Network Drug-tArget Ligand Fructifier) methodology [4]. We compare our generated peptides with a previously discovered novel ACE2 inhibitor [2]. We also compare our results for MPro with a recently publish small molecule based on α-ketoamide inhibitors recently developed as a drug lead [7]. Our best generated peptide for ACE2 is a small, six residue peptide [SSNATV]. This peptide has a binding affinity of --29.880. The novel, peptide inhibitor previously designed has a binding affinity of -19.843. Our generated peptide has a lower binding affinity, which is generally more desirable and indicates more stable binding. However, the novel inhibitor is larger at 26 peptides and may be more suitable for use without the need for too many additional modifications. Our peptide though is a good starting place for further improvements and optimization. The binding affinity for our best generated peptide of MPro is --41.038. This peptide has a size of eleven residues [WWTWTPFHLLV]. Our peptide has a similar binding affinity to that of the small molecule, α-ketoamide based inhibitor is --5.501. Not only does our peptide have a better binding affinity, but as a peptide, it has the added advantage of being better able to disrupt the activity of the MPro than the small molecule inhibitor. It is also encouraging that our binding affinity for our best MPro generated peptide is comparable to the best available compounds. Peptide based drugs are an important part of viral treatment. Our work here provides reasonable starting peptides for further drug research and development.
新生成的针对COVID-19靶点的肽
随着世界处于全球大流行之中,能够快速产生用于药物研究目的的新的类药物化合物非常重要。虽然已经做了一些成功的工作[3,6],但仍有很多工作要做,特别是像冠状病毒这样的病毒是出了名的难以治疗。由于肽药物通常比小分子药物更擅长阻断蛋白质-蛋白质相互作用[5],这在抗病毒工作中很重要,因此我们将使用我们的GANDALF方法生成新的肽来与感兴趣的靶点相互作用。在这里,我们正在研究两个重要的COVID-19靶点:SARS-CoV-2主要蛋白酶(M[Pro])和血管紧张素转换酶2 (ACE2)。Covid-19能够通过其刺突蛋白与ACE2之间的相互作用进入人体细胞,一旦进入细胞,MPro就会分解多蛋白,产生更多的病毒[1]。我们使用我们的甘道夫(生成对抗网络药物靶标配体合成物)方法为每个靶标生成了多肽[4]。我们将我们生成的肽与先前发现的新型ACE2抑制剂进行了比较[2]。我们还将MPro的研究结果与最近发表的一种基于α-酮酰胺抑制剂的小分子药物进行了比较[7]。我们为ACE2生成的最佳肽是一个小的,有六个残基的肽[SSNATV]。该肽的结合亲和力为-29.880。先前设计的新型肽抑制剂的结合亲和力为-19.843。我们生成的肽具有较低的结合亲和力,这通常是更理想的,并且表明更稳定的结合。然而,这种新型抑制剂在26个肽上更大,可能更适合使用,而不需要太多额外的修饰。我们的肽虽然是一个很好的起点,为进一步的改进和优化。我们合成的最佳MPro肽的结合亲和力为-41.038。该肽的大小为11个残基[WWTWTPFHLLV]。我们的肽具有与小分子相似的结合亲和力,α-酮酰胺基抑制剂为-5.501。我们的肽不仅具有更好的结合亲和力,而且作为肽,它具有比小分子抑制剂更好地破坏MPro活性的额外优势。同样令人鼓舞的是,我们对最好的MPro生成的肽的结合亲和力与最好的可用化合物相当。肽类药物是病毒治疗的重要组成部分。我们的工作为进一步的药物研究和开发提供了合理的起始肽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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