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Current Biotechnology

Editor-in-Chief

ISSN (Print): 2211-5501
ISSN (Online): 2211-551X

Research Article

In silico Characterization of an Initiation Factor 2 Kinase of Black Fungi: A Potential Drug Target for Mycosis

Author(s): Cláudia Barbosa Assunção, Edgar Lacerda de Aguiar*, Miguel A. Chávez-Fumagalli, Emanuelle Rutren La Santrer, Sandro Renato Dias, Thiago de Souza Rodrigues and Rachel Basques Caligiorne

Volume 13, Issue 2, 2024

Published on: 18 April, 2024

Page: [107 - 118] Pages: 12

DOI: 10.2174/0122115501285434240409040348

Price: $65

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Abstract

Fungi infections are responsible for more than 1.6 million deaths per year worldwide. Treatment is time-consuming, compromising the kidney and liver functions. In silico analyses have facilitated the discovery of new drugs that may present fewer side effects. In this connection, kinases that phosphorylate the translation initiation factor eIF-2 are candidate proteins for potent new drugs, which have been recognized as important in maintaining protein synthesis. Substances that interfere with the phosphorylation of the eIF2α factor may be the way to inhibit the production of proteins and accelerate the fungi's death. To determine whether this enzyme can be used as a new drug target, this study aimed to perform In silico functional annotation and characterization of eIF2 factor kinase´s three-dimensional structure from three species of black fungi. In addition, inhibitors that could interact and bind to the active site of the enzyme were explored. The hypothetical protein was submitted to the databases and bioinformatics tools for its characterization, whose analysis of protein-protein interactions was modeled and inhibitors anchored. Protein interaction analysis linked the kinases with other molecules in protein translation and ribosome recycling. However, centrality analysis showed only one kinase as a possible drug target. The inhibitors showed coupling with the active site of protein kinases, and these results indicate a possible blockade of the enzymatic function that can accelerate the response to the drugs. This study demonstrates that biochemical characterization and In silico validation studies of potential drugs can be more efficient and yield faster results

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