Modeling the evolution of drug resistance in malaria

J Comput Aided Mol Des. 2012 Dec;26(12):1343-53. doi: 10.1007/s10822-012-9618-2. Epub 2012 Nov 21.

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.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Amino Acid Sequence
  • Antimalarials / pharmacology*
  • Computer Simulation
  • Crystallography, X-Ray
  • Dihydropteroate Synthase / genetics*
  • Dihydropteroate Synthase / metabolism
  • Drug Resistance*
  • Evolution, Molecular*
  • Humans
  • Malaria, Falciparum / drug therapy*
  • Models, Chemical
  • Molecular Sequence Data
  • Mutation / genetics
  • Phylogeny
  • Plasmodium falciparum / drug effects*
  • Plasmodium falciparum / genetics
  • Plasmodium falciparum / pathogenicity
  • Protein Conformation
  • Pyrimethamine / pharmacology*
  • Sequence Homology, Amino Acid

Substances

  • Antimalarials
  • Dihydropteroate Synthase
  • Pyrimethamine