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Recent Advances in System Based Study for Anti-Malarial Drug Development Process

[ Vol. 25 , Issue. 31 ]

Author(s):

Brijesh S. Yadav*, Navaneet Chaturvedi and Ninoslav Marina   Pages 3367 - 3377 ( 11 )

Abstract:


Background: Presently, malaria is one of the most prevalent and deadly infectious disease across Africa, Asia, and America that has now started to spread in Europe. Despite large research being carried out in the field, still, there is a lack of efficient anti-malarial therapeutics. In this paper, we highlight the increasing efforts that are urgently needed towards the development and discovery of potential antimalarial drugs, which must be safe and affordable. The new drugs thus mentioned are also able to counter the spread of malaria parasites that have been resistant to the existing agents.

Objective: The main objective of the review is to highlight the recent development in the use of system biologybased approaches towards the design and discovery of novel anti-malarial inhibitors.

Method: A huge literature survey was performed to gain advance knowledge about the global persistence of malaria, its available treatment and shortcomings of the available inhibitors. Literature search and depth analysis were also done to gain insight into the use of system biology in drug discovery and how this approach could be utilized towards the development of the novel anti-malarial drug.

Results: The system-based analysis has made easy to understand large scale sequencing data, find candidate genes expression during malaria disease progression further design of drug molecules those are complementary of the target proteins in term of shape and configuration.

Conclusion: The review article focused on the recent computational advances in new generation sequencing, molecular modeling, and docking related to malaria disease and utilization of the modern system and network biology approach to antimalarial potential drug discovery and development.

Keywords:

Antimalarial, plasmodium species, system biology, NGS (New Generation Sequencing), molecular docking, networking, drug discovery.

Affiliation:

Department of Bioengineering, University of Information Science and Technology, Partizahska, Ohrid, Department of Bioengineering, University of Information Science and Technology, Partizahska, Ohrid, Department of Bioengineering, University of Information Science and Technology, Partizahska, Ohrid



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