In Silico Drug Designing Against Ebola Virus A Genomic Approach

by Harris Kaushik, Harris Kaushik, MS

Abstract (Summary)
Ebola hemorrhagic fever is a deadly disease caused by infection of negative-stranded RNA Ebola virus in human and primates, belonging to family Filoviridae, genus Ebolavirus. The identified Ebola virus species are, Zaire ebolavirus, Sudan ebolavirus, Taï Forest ebolavirus (formerly Côte d’Ivoire ebolavirus), Bundibugyo ebolavirus and Reston ebolavirus. Symptoms are fever, severe headache, fatigue, muscle pain, weakness, diarrhea, vomiting, abdominal pain, and unexplained haemorrhage. Viral evolutionary study has revealed the source of infection as infected animals, which can spread through either direct contact or body fluid, but not by air. Currently there is no known cure for Ebola virus, except good hospital treatment and patient’s immune system. Advancement in instrumentation and Bioinformatics enable to characterize viral genome sequences and other fragment data of gene, genome and proteomics. Observed potential drug target are VP40-matrix protein and VP35, protein involved in RNA polymerization, assembling, interferon inhibition. Derivatives of acetic acid, propaonic acid and triazole carboxyamide were proposed to be binding to VP40 and VP35. Monoclonal Antibodies (mAbs) against EBOV found to be effective. Two molecules, 1) anti-sense phosphorodiamidate morphino oligomers and 2) Lipid nano-particle/small interfering RNA are in clinical trial Phase-I (Source FDA). The current work is in progress and this abstract is aimed to provide support to In-silico approaches that can provide insight into understanding the viral genome, host-viral interaction, viral multiplication, assembly and release. It can facilitate screening of target, drug molecules, potential antigenic region for vaccine development, strategies to block host-cell-viral interacting protein.
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Bibliographical Information:

Advisor:Dr.Kishore Shinde

School:Delhi Vishwavidyalaya

School Location:India

Source Type:Master's Thesis

Keywords:Ebola virus, Filovirdae, In-silico therapeutics designing, Bioinformatics


Date of Publication:08/20/2015

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