Development of Ebola Vaccine Candidate by in Silico from Glikoprotein (GP) Gene of Ebola Zaire Virus

Immunoinformatics is the one of bioinformatics divisions. The focus of this division is to design compounds of immune response activists or candidate vaccine in silico or computation. One type of immune response activator compound is a peptide. Peptides are small amounts of amino acid residues. The amount of amino acid residues that can activate the immune response ranges from 9-15 amino acids. Good candidate vaccine quality is shown affinity or strong bond between peptide and MHC (Major Histocompatibility Complex) is indicated by the value of energy of molecule-blocking process through low software. This research is conducted in Data and Process Laboratory of Biology Department, Faculty of Science and Technology, States of Islamic University Sunan Gunung Djati Bandung, in December 2016 until February 2017. The study amis to get candidate vaccine ebola peptide form 9 (nine) amino acid residues. The tool used in this research is the software which made based on the working principle of immune response. The software is SDS Workbench, IEDB-AR, Emboss, and CABSdock. The material used in this research is the sequence information of ebola virus glycoprotein. The results show that the peptides with FLYDRLAST (Fenilanalnin, Leusin, Tyrosine, Aspartic acid, Arginine, Leusin, Alanine, Serin Treonin) are potential candidate for the ebola peptide vaccine because of their high affinity values with MHC I, indicated by molecular-binding energy which is very low ie -1870.69 Kcal / mol.