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Related Concept Videos

Retrovirus Life Cycles01:10

Retrovirus Life Cycles

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Retroviruses have a single-stranded RNA genome that undergoes a special form of replication. Once the retrovirus has entered the host cell, an enzyme called reverse transcriptase synthesizes double-stranded DNA from the retroviral RNA genome. This DNA copy of the genome is then integrated into the host’s genome inside the nucleus via an enzyme called integrase. Consequently, the retroviral genome is transcribed into RNA whenever the host’s genome is transcribed, allowing the...
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Updated: Sep 10, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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Computer-Aided Algorithmic Approaches to Drug Development for Multi-Mutant HIV-1 Reverse Transcriptase.

Akmal Zubair1, Muhammad Ali1, Mahmoud M Hessien2

  • 1Department of Biotechnology, Quaid-i-Azam University, Islamabad, Pakistan.

Clinical Pharmacology in Drug Development
|August 27, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a new virtual screening method to find drugs that fight drug-resistant HIV-1. Six marine natural products showed potential as non-nucleoside reverse transcriptase inhibitors (NNRTIs) against mutant HIV strains.

Keywords:
CMNPD databaseHIVNNRTIdrug designtreatment

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Area of Science:

  • Biochemistry
  • Drug Discovery
  • Computational Chemistry

Background:

  • Non-nucleoside reverse transcriptase inhibitors (NNRTIs) are crucial for HIV treatment.
  • Drug-resistant HIV-1 strains present a significant challenge to current therapies.

Purpose of the Study:

  • To develop an innovative virtual screening method for identifying potential NNRTIs against drug-resistant HIV-1 strains.
  • To identify novel compounds from natural sources that can inhibit multi-mutant HIV reverse transcriptase.

Main Methods:

  • Structure-based virtual screening targeting wild-type and multi-mutant HIV reverse transcriptase.
  • Molecular docking and molecular dynamics simulations for selected compounds.
  • Binding free energy calculations using Molecular Mechanics/Generalized Born Surface Area (MM/GBSA).

Main Results:

  • Six compounds from the Comprehensive Marine Natural Products Database (CMNPD) were identified as potential NNRTI candidates.
  • The compound CMNPD370 exhibited strong and persistent binding to the multi-mutant HIV reverse transcriptase.
  • CMNPD370 showed a significantly higher binding affinity to the mutant RT compared to the wild-type enzyme.

Conclusions:

  • The proposed virtual screening method is effective for identifying inhibitors against drug-resistant HIV-1.
  • CMNPD370 is a promising lead compound for developing novel NNRTIs.
  • Findings offer new avenues for discovering natural product-based HIV therapies.