• DocumentCode
    617822
  • Title

    Modeling the evolution of drug resistance in Plasmodium falciparum DHFR

  • Author

    Fogel, Gary B. ; Islas, Carla ; Hecht, David

  • Author_Institution
    Natural Selection, Inc., San Diego, CA, USA
  • fYear
    2013
  • fDate
    20-23 June 2013
  • Firstpage
    206
  • Lastpage
    212
  • Abstract
    Plasmodium falciparum, the causal agent of malaria, has the ability to develop resistance to frontline therapeutics such as chloroquine and sulfadoxine-pyrimethamine rapidly. Here we apply in silico evolution to study and understand the evolutionary trajectories of the clinically relevant therapeutic anti-malaria target dihydrofolate reductase (DHFR). Amino acid replacements that confer resistance to pyrimethamine while still binding the natural DHFR substrate, 7,8-dihydrofolate, and cofactor, NADPH are modeled as a co-evolutionary system. The preliminary results suggest a pathway of amino acid replacements that can arrive at a key amino acid replacement (S108N) believed to convey therapeutic resistance in vivo.
  • Keywords
    diseases; drugs; enzymes; microorganisms; organic compounds; 7,8-dihydrofolate; Plasmodium falciparum DHFR; S108N; amino acid replacement; chloroquine; coevolutionary system; cofactor; drug resistance evolution modeling; in-silico evolution; in-vivo therapeutic resistance; malaria; natural DHFR substrate; pyrimethamine resistance; sulfadoxine-pyrimethamine; therapeutic antimalaria target dihydrofolate reductase; Drugs; DHFR; Evolutionary computation; Plasmodium; coevolution; drug resistance; evolution; malaria; phylogeny;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2013 IEEE Congress on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4799-0453-2
  • Electronic_ISBN
    978-1-4799-0452-5
  • Type

    conf

  • DOI
    10.1109/CEC.2013.6557572
  • Filename
    6557572