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
Link To Document :
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