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Label-Free Analysis of Binding and Inhibition of SARS-Cov-19 Spike Proteins to ACE2 Receptor with ACE2-Derived Peptides by Surface Plasmon Resonance

穗蛋白 表面等离子共振 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 2019年冠状病毒病(COVID-19) 受体 Spike(软件开发) 2019-20冠状病毒爆发 化学 生物物理学 冠状病毒 病毒学 生物 医学 生物化学 纳米技术 材料科学 计算机科学 内科学 纳米颗粒 疾病 传染病(医学专业) 爆发 软件工程
作者
Fatimah Abouhajar,Rohit Chaudhuri,Santino N. Valiulis,Daniel D. Stuart,Alexander S. Malinick,Min Xue,Quan Cheng
出处
期刊:ACS applied bio materials [American Chemical Society]
卷期号:6 (1): 182-190 被引量:6
标识
DOI:10.1021/acsabm.2c00832
摘要

SARS-CoV-2 has been shown to enter and infect human cells via interactions between spike protein (S glycoprotein) and angiotensin-converting enzyme 2 (ACE2). As such, it may be possible to suppress the infection of the virus via the blocking of this binding interaction through the use of specific peptides that can mimic the human ACE 2 peptidase domain (PD) α 1-helix. Herein, we report the use of competitive assays along with surface plasmon resonance (SPR) to investigate the effect of peptide sequence and length on spike protein inhibition. The characterization of these binding interactions helps us understand the mechanisms behind peptide-based viral blockage and develop SPR methodologies to quickly screen disease inhibitors. This work not only helps further our understanding of the important biological interactions involved in viral inhibition but will also aid in future studies that focus on the development of therapeutics and drug options. Two peptides of different sequence lengths, [30-42] and [22-44], based on the α 1-helix of ACE2 PD were selected for this fundamental investigation. In addition to characterizing their inhibitory behavior, we also identified the critical amino acid residues of the RBD/ACE2-derived peptides by combining experimental results and molecular docking modeling. While both investigated peptides were found to effectively block the RBD residues known to bind to ACE2 PD, our investigation showed that the shorter peptide was able to reach a maximal inhibition at lower concentrations. These inhibition results matched with molecular docking models and indicated that peptide length and composition are key in the development of an effective peptide for inhibiting biophysical interactions. The work presented here emphasizes the importance of inhibition screening and modeling, as longer peptides are not always more effective.
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