ArticleAntimicrobial agents and chemotherapy2011
Development, evaluation, and application of an in silico model for antimalarial drug treatment and failure.
Article in Antimicrobial agents and chemotherapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Classification of outcomes in antimalarial therapeutic efficacy studies with Aster.Antimicrobial agents and chemotherapy · 2026Article
- Classification of outcomes in antimalarial therapeutic efficacy studies with Aster.bioRxiv : the preprint server for biology · 2025Article
- Design and selection of drug properties to increase the public health impact of next-generation seasonal malaria chemoprevention: a modelling study.The Lancet. Global health · 2024Article
- Article
- Population Pharmacokinetics and Pharmacodynamics of Chloroquine in a Plasmodium vivax Volunteer Infection Study.Clinical pharmacology and therapeutics · 2020Article
- A Computer Modelling Approach To Evaluate the Accuracy of Microsatellite Markers for Classification of Recurrent Infections during Routine Monitoring of Antimalarial Drug Efficacy.Antimicrobial agents and chemotherapy · 2020Article
- Outcome Impacts Due to Pathogen-Specific Antimicrobial Resistance: A Narrative Review of Published Literature.International journal of environmental research and public health · 2020Review
- Improving Methods for Analyzing Antimalarial Drug Efficacy Trials: Molecular Correction Based on Length-Polymorphic MarkersAntimicrobial agents and chemotherapy · 2019Article
- Article
- Investigating the Efficacy of Triple Artemisinin-Based Combination Therapies for Treating Plasmodium falciparum Malaria Patients Using Mathematical Modeling.Antimicrobial agents and chemotherapy · 2018Article
- Assessing the impact of imperfect adherence to artemether-lumefantrine on malaria treatment outcomes using within-host modelling.Nature communications · 2017Article
- malERA: An updated research agenda for combination interventions and modelling in malaria elimination and eradication.PLoS medicine · 2017Review
- The Impact of Antimalarial Use on the Emergence and Transmission of Plasmodium falciparum Resistance: A Scoping Review of Mathematical Models.Tropical medicine and infectious disease · 2017Article
- Antimalarial efficacy of MMV390048, an inhibitor ofScience translational medicine · 2017Article
- Quantifying the pharmacology of antimalarial drug combination therapy.Scientific reports · 2016Article
- OptiMal-PK: an internet-based, user-friendly interface for the mathematical-based design of optimized anti-malarial treatment regimens.Malaria journal · 2016Article
- Incorporating Stage-Specific Drug Action into Pharmacological Modeling of Antimalarial Drug Treatment.Antimicrobial agents and chemotherapy · 2016Article
- Operational strategies of anti-malarial drug campaigns for malaria elimination in Zambia's southern province: a simulation study.Malaria journal · 2016Article
- Altering Antimalarial Drug Regimens May Dramatically Enhance and Restore Drug Effectiveness.Antimicrobial agents and chemotherapy · 2015Article
- How Robust Are Malaria Parasite Clearance Rates as Indicators of Drug Effectiveness and Resistance?Antimicrobial agents and chemotherapy · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pharmacological mechanism-based modeling was refined and used to develop an in silico model of antimalarial drug treatment validated against clinical and field data. We used this approach to investigate key features of antimalarial drug action and effectiveness, with emphasis on the current generation of artemisinin combination therapies. We made the following conclusions. (i) The development of artemisinin tolerance and resistance will, unless checked, have an immediate, large impact on the protection afforded to its partner drug and on the likely clinical efficacy of artemisinin combination therapies. (ii) Long follow-up periods are required in clinical trials to detect all drug failures; the follow-up periods of 28 days recommended by the World Health Organization are likely to miss at least 50% of drug failures, and we confirmed recent suggestions that 63 days would be a more appropriate follow-up period. (iii) Day 7 serum drug concentrations are a significant risk factor of failure, although, paradoxically, receiver operating characteristic curve analysis revealed that their predictive power is relatively poor. (iv) The pharmacokinetic properties of the partner drugs in artemisinin-containing combination therapies are the most important determinants of treatment outcome, particularly the maximum killing rate. We discuss the assumptions made in such modeling approaches and how similar approaches may be refined in future work.
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