Prediction of protein-protein interaction network in malaria biomarkers and implication as therapeutic target
Document Type
Article
Publication Date
10-1-2021
Abstract
Malaria is a major global health concern, claiming thousands of lives each year. Numerous proteins are involved in the parasitic infection of the host body by malaria. Several of these proteins, including mucin 13 protein (MUC13), Plasmodium falciparum lactate dehydrogenase (PfLDH), plasmodium glutamate dehydrogenase (GDH), and liver-derived glutamate dehydrogenase (GDH), have been implicated as biomarkers. These proteins interact with other proteins throughout the liver and blood stages of the plasmodium life cycle. We used computational analysis to uncover protein-protein interactions (PPIs) that might be used to discover new therapeutic targets. Bioinformatics analysis utilizing the stringDB webserver was used to gather PPIs data. The PPIs data set contains the interaction of biomarkers with many proteins as well as the false discovery rate (FDR) for each biological process. Data is provided in the form of an interactive graphic and a table of PPIs. MUC13, PfLDH, Plasmodium GDH, and LISP2 were co-expressed with several proteins in 12 biological processes. In the homeostatic process, the interaction of MUC13 with MUC4, MUC17, and MUC6 has the lowest FDR value of 0.0299. Furthermore, we relate our findings to previous research and predict the implications of these proteins' inhibition. © 2021 Malaysian Society for Biochemistry and Molecular Biology. All rights reserved.
Keywords
Bioinformatics analysis, Biomarker, Drug target, Malaria, PPI
Divisions
InstituteofBiologicalSciences
Funders
Universitas Negeri Malang [Grant No.: 5.3.517/UN32.14.1/LT/2021]
Publication Title
Malaysian Journal of Biochemistry and Molecular Biology
Volume
24
Issue
2
Publisher
Malaysian Society for Biochemistry and Molecular Biology