Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Retrovirus Life Cycles

Retrovirus Life Cycles

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...

Retroviruses

Retroviruses

Retroviruses and retrotransposons both insert copies of their genetic elements into the genome of the host cell. Thus, the viral genes are passed on when the host genome is replicated or translated. A typical retroviral DNA sequence contains 3-4 genes that encode the different proteins required for its structural assembly and function as a molecular parasite. This DNA is transcribed into a single mRNA, which is very similar in structure to conventional mRNAs, i.e., it is capped at the 5’...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

DFT Study of Americium and Europium Complexation with 2,9-Bis(1,2,4-triazin-3-yl)-1,10-Phenanthroline Ligand: The Influence of the Counteranions-Nitrate Versus Perchlorate.

Molecules (Basel, Switzerland)·2026

Same author

Inhibition of ALKBH5 demethylase of m<sup>6</sup>A pathway potentiates HIV-1 reactivation from latency.

Virology journal·2025

Same author

Novel Molecular Signatures Selectively Predict Clinical Outcomes in Colon Cancer.

Cancers·2025

Same author

Dengue Virus Inhibitors as Potential Broad-Spectrum Flavivirus Inhibitors.

Pharmaceuticals (Basel, Switzerland)·2025

Same author

USP14 is crucial for proteostasis regulation and α-synuclein degradation in human SH-SY5Y dopaminergic cells.

Heliyon·2025

Same author

CompSafeNano project: NanoInformatics approaches for safe-by-design nanomaterials.

Computational and structural biotechnology journal·2025

Search research articles

Related Experiment Video

Updated: Apr 1, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

Published on: May 9, 2025

Robust Modeling and Scaffold Hopping: Case Study Based on HIV Reverse Transcriptase Inhibitors Type-1 Data.

Girinath G Pillai¹, Laznier Mederos, Chandramukhi S Panda

¹Department of Chemistry, University of Tartu, Ravila 14a, Tartu 50411, Estonia. giribio@mail.com.

Medicinal Chemistry (Shariqah (United Arab Emirates))

|October 6, 2015

Summary

This summary is machine-generated.

Researchers developed a quantitative structure-activity relationship (QSAR) model to predict human immunodeficiency virus type 1 (HIV-1) Reverse Transcriptase Inhibitors (RTI). This model identified five novel compounds with potential HIV-1 binding capabilities.

More Related Videos

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors

Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors

Published on: April 9, 2014

Related Experiment Videos

Last Updated: Apr 1, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

Published on: May 9, 2025

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors

Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors

Published on: April 9, 2014

Area of Science:

Medicinal Chemistry
Computational Chemistry
Drug Discovery

Background:

Human immunodeficiency virus type 1 (HIV-1) causes AIDS and can spread through mucosal surfaces or direct inoculation.
Developing effective inhibitors of HIV-1 Reverse Transcriptase (RT) is crucial for AIDS treatment.

Purpose of the Study:

To apply quantitative structure-activity relationship (QSAR) modeling to diverse chemical scaffolds of HIV-1 RT inhibitors.
To explore a large descriptor space for optimizing the prediction of HIV-1 RTI activity.

Main Methods:

Generation of a four-parameter QSAR model using 111 data points.
Validation of the model with statistical metrics (R2 = 0.85, Q2lmo = 0.84).
Prediction of HIV-1 inhibition for 367 experimentally measured compounds.

Main Results:

The QSAR model demonstrated robust statistical validation.
The model accurately predicted the inhibitory activity of known HIV-1 RTI compounds.
The model's predictive power was confirmed for a large dataset.

Conclusions:

In silico design and virtual screening identified 5 novel hit compounds.
These novel compounds satisfied all pharmacophore constraints.
The designed compounds exhibited predicted pIC50 values within the binding capacity of HIV-1 RT targets.