A Brief Survey of Machine Learning Methods in Identification of Mitochondria Proteins in Malaria Parasite

Author(s): Ting Liu, Hua Tang*

Journal Name: Current Pharmaceutical Design

Volume 26 , Issue 26 , 2020

Become EABM
Become Reviewer


The number of human deaths caused by malaria is increasing day-by-day. In fact, the mitochondrial proteins of the malaria parasite play vital roles in the organism. For developing effective drugs and vaccines against infection, it is necessary to accurately identify mitochondrial proteins of the malaria parasite. Although precise details for the mitochondrial proteins can be provided by biochemical experiments, they are expensive and time-consuming. In this review, we summarized the machine learning-based methods for mitochondrial proteins identification in the malaria parasite and compared the construction strategies of these computational methods. Finally, we also discussed the future development of mitochondrial proteins recognition with algorithms.

Keywords: Mitochondria proteins, malaria parasite, machine learning, database, feature, infection.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2020
Page: [3049 - 3058]
Pages: 10
DOI: 10.2174/1381612826666200310122324
Price: $65

Article Metrics

PDF: 4