Evidence map›Paper›PMID 23179493›Full record

ArticleJournal of computer-aided molecular design2012

Modeling the evolution of drug resistance in malaria.

David Hecht, Gary B Fogel

Open access · greenAbstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Model-Informed Drug Development for Malaria Therapeutics.Annual review of pharmacology and toxicology · 2018
    Review
  3. Article
  4. Article
  5. Trafficked Proteins-Druggable in Plasmodium falciparum?International journal of cell biology · 2013
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

David HechtSouthwestern College, Chula Vista, CA 91910, USA. dhecht@swccd.edu
Gary B Fogel
Arizona Christian University · USNatural Selection (United States) · US

Funding

Predictive Structure-Based Models of Malaria ResistanceSC3GM100791 · NIGMS · SOUTHWESTERN COLLEGE · PI HECHT, DAVID · 2012 to 2014
$240k
NIGMS NIH HHS SC3 GM100791NIGMS NIH HHS SC3GM100791
6 · The paper itself

Abstract

Plasmodium falciparum, the causal agent of malaria, continues to evolve resistance to frontline therapeutics such as chloroquine and sulfadoxine-pyrimethamine. Here we study the amino acid replacements in dihydrofolate reductase (DHFR) that confer resistance to pyrimethamine while still binding the natural DHFR substrate, 7,8-dihydrofolate, and cofactor, NADPH. The chain of amino acid replacements that has led to resistance can be inferred in a computer, leading to a broader understanding of the coevolution between the drug and target. This in silico approach suggests that only a small set of specific active site replacements in the proper order could have led to the resistant strains in the wild today. A similar approach can be used on any target of interest to anticipate likely pathways of future resistance for more effective drug development.

Indexed as

Drug ResistanceEvolution, MolecularAmino Acid SequenceAntimalarialsComputer SimulationCrystallography, X-RayDihydropteroate SynthaseHumansMalaria, FalciparumModels, ChemicalMolecular Sequence DataMutationPhylogenyPlasmodium falciparumProtein ConformationPyrimethamineAntimalarialsDihydropteroate SynthasePyrimethamine

Identifiers

PMID23179493
PMCPMC3535480
OpenAlexW2012512911

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.