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Updated: Apr 14, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
Synthetic lethals in HIV: ways to avoid drug resistance : Running title: Preventing HIV resistance
Michel Petitjean1,2, Anne Badel3,4, Reiner A Veitia5,6
1Univ Paris Diderot, Sorbonne Paris Cité, F-75013, Paris, France. petitjean.chiral@gmail.com.
Background:
RNA viruses rapidly accumulate genetic variation, which can give rise to synthetic lethal (SL) and deleterious (SD) mutations. Synthetic lethal mutations (non-lethal when alone but lethal when combined in one genome) have been studied to develop cancer therapies. This principle can also be used against fast-evolving RNA-viruses. Indeed, targeting protein sites involved in SD + SL interactions with a drug would render any mutation of such sites, lethal.
Results:
Here, we set up a strategy to detect intragenic pairs of SL and SD at the surface of the protein to predict less escapable drug target sites. For this, we detected SD + SL, studying HIV protease (PR) and reverse transcriptase (RT) sequence alignments from two groups of VIH(+) individuals: treated with drugs (T) or not (NT). Using a series of statistical approaches, we were able to propose bona fide SD + SL couples. When focusing on spatially close co-variant SD + SL couples at the surface of the protein, we found 5 SD + SL groups (2 in the protease and 3 in the reverse transcriptase), which could be good candidates to form pockets to accommodate potential drugs.
Conclusions:
Thus, designing drugs targeting these specific SD + SL groups would not allow the virus to mutate any residue involved in such groups without losing an essential function. Moreover, we also show that the selection pressure induced by the treatment leads to the appearance of new mutations, which change the mutational landscape of the protein. This drives the existence of differential SD + SL couples between the drug-treated and non-treated groups. Thus, new anti-viral drugs should be designed differently to target such groups.
Insights
Targeting synthetic lethal (SL) and synthetic deleterious (SD) mutations in RNA viruses offers a novel therapeutic strategy. By identifying specific SL+SD mutation pairs on viral proteins, drugs can be designed to prevent viral escape and evolution.
Area of Science:
- Virology
- Computational Biology
- Drug Discovery
Background:
- RNA viruses rapidly evolve, generating mutations.
- Synthetic lethal (SL) and synthetic deleterious (SD) mutations can be exploited therapeutically.
- Targeting SL+SD interactions can prevent viral escape.
Purpose of the Study:
- To develop a strategy for detecting intragenic SL and SD mutation pairs on viral protein surfaces.
- To identify potential drug target sites that are less susceptible to viral escape.
- To analyze mutation patterns in HIV protease and reverse transcriptase.
Main Methods:
- Analysis of HIV protease (PR) and reverse transcriptase (RT) sequence alignments from treated and untreated individuals.
- Application of statistical approaches to identify bona fide SL+SD mutation couples.
- Focus on spatially proximate co-variant SL+SD couples on protein surfaces.
Main Results:
- Identified 5 groups of SL+SD mutations (2 in PR, 3 in RT) suitable for drug targeting.
- These SL+SD groups are located on the protein surface and can form drug-binding pockets.
- Detected differential SL+SD couples between drug-treated and non-treated groups due to selection pressure.
Conclusions:
- Drugs targeting identified SL+SD groups would prevent viral mutation without functional loss.
- Viral treatment induces new mutations, altering the mutational landscape and SL+SD patterns.
- Future antiviral drug design should incorporate strategies targeting these specific SL+SD groups.
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