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Related Concept Videos

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Simple proteins and protein complexes contain only amino acids. In contrast, many other proteins, called conjugated proteins, covalently bond with non-protein moieties.
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Related Experiment Video

Updated: Jan 9, 2026

Overexpressing and Purifying a Toxic Nuclease from Escherichia coli
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In Silico Exploration of Potential Inhibitors Targeting SARS-CoV-2 Non-Structural Protein 15 (Nsp15): A Comprehensive

Behnaz Yazdani1, Hajar Sirous2, Farnoosh Farzam3

  • 1Bioscience Department, Faculty of Science and Technology (FCT), Universitat de Vic-Universitat Central de Catalunya (Uvic-UCC), Vic, Spain.

Chemical Biology & Drug Design
|December 9, 2025
PubMed
Summary

This review summarizes computational strategies for discovering inhibitors of SARS-CoV-2 Nsp15, an enzyme crucial for viral replication. It highlights potential drug candidates for developing new antiviral therapies against coronaviruses.

Keywords:
COVID‐19Nsp15SARS‐CoV‐2computer‐aided drug designdrug discoverynon‐structural‐protein 15

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Area of Science:

  • Virology
  • Biochemistry
  • Drug Discovery

Background:

  • SARS-CoV-2 nonstructural protein 15 (Nsp15) is an endoribonuclease essential for viral replication and immune evasion.
  • Its unique NendoU domain makes Nsp15 a promising therapeutic target for novel antiviral agents.
  • Existing research lacks a comprehensive review of computational methods for Nsp15 inhibitor discovery.

Purpose of the Study:

  • To review and consolidate recent in silico research on the structure, function, and inhibition of SARS-CoV-2 Nsp15.
  • To focus on computational approaches for identifying Nsp15 inhibitors.
  • To highlight prospects for rational drug design against Nsp15.

Main Methods:

  • Literature review of computational studies on SARS-CoV-2 Nsp15.
  • Analysis of in silico approaches for inhibitor identification.
  • Evaluation of binding interactions and predicted pharmacological potential of inhibitors.

Main Results:

  • Summary of computational findings on Nsp15 structure, function, and inhibition.
  • Identification of inhibitors from natural and synthetic sources through computational screening.
  • Assessment of binding modes and predicted efficacy of identified Nsp15 inhibitors.

Conclusions:

  • Computational methods offer powerful tools for discovering Nsp15 inhibitors.
  • This review provides a foundation for rational design of Nsp15-targeted therapeutics.
  • Further research can accelerate the development of antivirals against SARS-CoV-2 and related coronaviruses.