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Dataset Information

Prediction of Leishmania major Key Proteins Via Topological Analysis of Protein-Protein Interaction Network.


ABSTRACT:

Background

Although leishmaniasis is regarded as a public health problem, no effective vaccine or decisive treatment has been introduced for this disease. Therefore, representing novel therapeutic proteins is essential. Protein-protein Interaction network analysis is a suitable tool to discover novel drug targets for leishmania major. To this aim, gene and protein expression data is used for instructing protein network and the key proteins are highlighted.

Materials and methods

In this computational and bioinformatics study, the protein/gene expression data related to leishmania major were studied, and 252 candidate proteins were extracted. Then, the protein networks of these proteins were explored and visualized by using String database and Cytoscape software.

SUBMITTER: Amiri Dashatan N 

PROVIDER: S-EPMC8344062 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature