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In silico screening of anti-malarial from Indonesian medicinal pl | 29174
Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

In silico screening of anti-malarial from Indonesian medicinal plants database to plasmepsin target


5th International Conference on Proteomics & Bioinformatics

September 01-03, 2015 Valencia, Spain

Eko Aditya Rifai, Arry Yanuar and Hayun

Universitas Indonesia, Indonesia

Scientific Tracks Abstracts: J Proteomics Bioinform

Abstract :

Malaria is one of diseases that annually emerge millions victim. Among the other enzymes, plasmepsin is the main enzyme in plasmodium life cycle which degrades hemoglobin during erythrocytic phase in food vacuole. Recently, pharmaceutical industries have been trying to develop therapeutic agents that are able to cure malaria through discovery of new plasmepsin inhibitor compounds. One of the developing approaches is in silico method. The chosen in silico screening method in this experiment is structure-based screening by using GOLD software and Indonesian medicinal plants database. Based on the obtained results from this screening, there are 11 inhibitor candidates which are expected to be developed as anti-malarial. These compounds are Trimyristin; Cyanidin 3,5-di-(6-malonylglucoside); Isoscutellarein 4â�?�?-methyl ether 8-(6â�?-n-butylglucuronide); Cyanidin 3-(6â�?-malonylglucoside)- 5-glucoside; Multifloroside; Delphinidin 3-(2-rhamnosyl-6-malonylglucoside); Delphinidin 3-(6-malonylglucoside)-3â�?�?,5â�?�?-di-(6- p-coumaroylglucoside); Cyanidin 3-[6-(6-sinapylglucosyl)-2-xylosylgalactoside; Kaempferol 3-glucosyl-(1-3)-rhamnosyl-(1-6)- galactoside; Sanggenofuran A and Lycopene with GOLD Score range from 78,4647 to 98,2836. Two of them bind with all residues in catalytic site of plasmepsin which are Asp34 and Asp214.

Biography :

Eko Aditya Rifai completed his Bachelor degree of Pharmacy and professional degree of pharmacist in University of Indonesia from 2007-2013. He is now a Master student of Bioinformatics at University of Glasgow, UK, starting from 2014. His research interests are in using the computational methods to discover potential inhibitors of enzymes correlated in human diseases, including drug design and molecular dynamics.

Email: ekoadityarifai@gmail.com

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