Review on Computational Approaches for Identification of New Targets and Compounds for Fighting Against Filariasis
Manisha Mishra1, Prachi Srivastava2, *
Identifiers and Pagination:Year: 2017
First Page: 72
Last Page: 82
Publisher Id: TOBCJ-5-72
Article History:Received Date: 19/10/2017
Revision Received Date: 21/11/2017
Acceptance Date: 21/12/2017
Electronic publication date: 29/12/2017
Collection year: 2017
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Lymphatic filariasis is a tropical disease and currently more than 1.4 billion people in 73 countries are at risk but still it is neglected in higher researches. Lymphatic filariasis is wide spread throughout the tropical and subtropical areas of Asia, Africa, the Western Pacific and some parts of the Americas. Though it is a big issue for developing countries but still no proper prophylactic or therapeutic measures are taken out as to protect against filarial infection or to modulate disease.
Non availability of proper prevention or cure as well are the major issues for which new scientific computational research approaches towards the management and betterment of this disease is required. Identification of novel compounds or drug targets through advance computational approaches can give new and better alternatives against this social problem or can open a new gate way towards advance approaches of drug designing.
Current review signifies the contribution of scientist working in different areas are globally thinking about the resolution of this problem and among different approaches these computational based researches will no doubt are a milestone against the fight with filaria. Genomic, proteomic, system biology based concepts, computational drug designing, virtual screening, homology modelling etc. are the different advances which altogether will win these problem.
Compilation of this in silico contributions are well establishing their importance in finding out new targets and compounds that could lead a milestone against this social stigma which create humiliation not only for patients or relatives but also burden of society too.