ArticlePLoS computational biology2021
Numerical approaches for the rapid analysis of prophylactic efficacy against HIV with arbitrary drug-dosing schemes.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Predicting Oral HIV Pre-Exposure Prophylaxis Efficacy in Cisgender Women Across Pregnancy and Postpartum.Journal of clinical pharmacology · 2026Article
- Pharmacological markers of HIV prevention for oral pre-exposure prophylaxis in men who have sex with men.Nature communications · 2026Article
- Pharmacokinetics, Pharmacodynamics, Efficacy and Drug Resistance Selection of Injectable Long-Acting Lenacapavir Pre-Exposure Prophylaxis (PrEP) Against HIV.CPT: pharmacometrics & systems pharmacology · 2026Article
- Pharmacokinetics, pharmacodynamics, efficacy and drug resistance selection of injectable long-acting lenacapavir pre-exposure prophylaxis (PrEP) against HIV.medRxiv : the preprint server for health sciences · 2025Article
- Bioactive compounds from marine algae in pancreatic cancer therapy: mechanistic insights into fucoidan and phlorotannins: a review.Medical oncology (Northwood, London, England) · 2025Review
- Modelling the impact of initiation delay, duration and prior PrEP on the efficacy of post-exposure prophylaxis containing a tenofovir/emtricitabine backbone.Journal of the International AIDS Society · 2025Article
- Modeling of HIV-1 prophylactic efficacy and toxicity with islatravir shows non-superiority for oral dosing, but promise as a subcutaneous implant.CPT: pharmacometrics & systems pharmacology · 2024Article
- Model-based predictions of protective HIV pre-exposure prophylaxis adherence levels in cisgender women.Nature medicine · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pre-exposure prophylaxis (PrEP) is an important pillar to prevent HIV transmission. Because of experimental and clinical shortcomings, mathematical models that integrate pharmacological, viral- and host factors are frequently used to quantify clinical efficacy of PrEP. Stochastic simulations of these models provides sample statistics from which the clinical efficacy is approximated. However, many stochastic simulations are needed to reduce the associated sampling error. To remedy the shortcomings of stochastic simulation, we developed a numerical method that allows predicting the efficacy of arbitrary prophylactic regimen directly from a viral dynamics model, without sampling. We apply the method to various hypothetical dolutegravir (DTG) prophylaxis scenarios. The approach is verified against state-of-the-art stochastic simulation. While the method is more accurate than stochastic simulation, it is superior in terms of computational performance. For example, a continuous 6-month prophylactic profile is computed within a few seconds on a laptop computer. The method's computational performance, therefore, substantially expands the horizon of feasible analysis in the context of PrEP, and possibly other applications.
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