DOAJ Open Access 2023

Computational Approaches for Structure-Based Functional Annotation of an Uncharacterized Conserved Protein of <i>Acinetobacter baumannii</i>

Mamun Al Asad Surya Afrin Shorna Abu Saim Mohammad Saikat Md Ekhlas Uddin

Abstrak

<i>Acinetobacter baumannii</i> (<i>A. baumannii</i>) is an example of an opportunistic pathogen that is generally harmless to healthy individuals but can cause serious infections, such as ventilator-associated pneumonia, wound infections, and bacteremia, in critically ill hospital patients. <i>A. baumannii</i> produces many proteins within its genome. By analyzing its structural and functional interpretations, bioinformatics techniques can make it easier to understand this organism. The protein is still unclear, though. As a result, this study developed an in-silico method for functional and structural characterization of the uncharacterized protein (accession ID: SSI32830.1). These provide many characteristics in silico viewpoints, such as the protein’s physiochemical qualities, subcellular localization, three-dimensional structure, and protein-protein interactions. Protein-protein interactions are explained using the STRING software. The projected tertiary structure evaluation was conducted using the Swiss Model. The best materials are chosen utilizing structural analyses based on Ramachandran plot analysis. This research sought to understand the function of <i>A. baumannii</i>. Therefore, this investigation will increase our understanding of pathophysiology and allow us to target the protein complex specifically.

Penulis (4)

M

Mamun Al Asad

S

Surya Afrin Shorna

A

Abu Saim Mohammad Saikat

M

Md Ekhlas Uddin

Format Sitasi

Asad, M.A., Shorna, S.A., Saikat, A.S.M., Uddin, M.E. (2023). Computational Approaches for Structure-Based Functional Annotation of an Uncharacterized Conserved Protein of <i>Acinetobacter baumannii</i>. https://doi.org/10.3390/ECP2023-14679

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.3390/ECP2023-14679
Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.3390/ECP2023-14679
Akses
Open Access ✓