Effective Binding Affinity of Inhibitor N-(3-(Carbamoylamino) Phenyl) Acetamide against the SARS-CoV-2 NSP13 Helicase

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background and objectives

The outbreak of coronavirus disease 2019 (COVID-19) has become a global health emergency. The severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) NSP13 helicase plays an important role in SARS-CoV-2 replication and could serve as a target for the development of antivirals. The objective of the study was to perform homology modeling and docking analysis of SARS-CoV-2 NSP13 helicase as a drug target.

Methods

The structure and function of SARS-CoV-2 NSP13 helicase were predicted by in-silico modeling studies. The SWISS-MODEL structure assessment tool was used for homology modeling and visual analysis of the crystal structure of the protein. The validation for structure models was performed using PROCHECK. Model quality was estimated based on the QMEAN and ProSA. The MCULE-1-Click docking and InterEvDock-2.0 server were used for protein-ligand docking.

Results

The SARS-CoV-2 NSP13 helicase model corresponded to probability confirmation with 90.9% residue of the core section, which highlights the accuracy of the predicted model. ProSA Z-score of -9.17 indicated the good quality of the model. Inhibitor N-(3-(carbamoylamino) phenyl) acetamide exhibited effective binding affinity against the NSP13 helicase. The docking results revealed that Lys-146, Leu-147, Ile-151, Tyr-185, Lys-195, Tyr-224, Val-226, Leu-227, Ser-229 residues exhibit good binding interactions with inhibitor ligand N-(3-(carbamoyl amino) phenyl) acetamide.

Conclusion

Hence, the proposed inhibitor could potently inhibit SARS-CoV-2 NSP13 helicase, which is thought to play key roles during viral replication. The results of this study indicate that N-(3-(carbamoylamino) phenyl) acetamide could be a valuable lead molecule with great potential for SARS-CoV-2 NSP13 helicase inhibition.

Language:
English
Published:
Medical Laboratory Journal, Volume:16 Issue: 6, Nov-Dec 2022
Pages:
26 to 34
https://magiran.com/p2519104  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!