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International Journal of Zoology and Applied Biosciences Research Article

Received on: 19/03/2024

Revised on: 27/03/2024

Accepted on: 22/04/2024

Published on: 30/04/2024

  • Devika D, Radhakrishnan K and Radha A( 2024).

    Profiling indigenous urinary tract infections causing microflora and virtual screening for nickel ABC transporter substrate-binding protein in Staphylococcus sp

    . International Journal of Zoology and Applied Biosciences, ( 2), 20-34.

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Abstract

The study was carried out in the Thanjavur District's New Bus Stand in 2023–2024. After gathering air samples from the vicinity, bacterial growth plates were cultured for a full day at 37°C. Bacterial colonies were first recognized by biochemical testing, followed by morphological and microscopic inspection. Bailey and Scott's (1966) method of biochemical analysis and gram staining were used to identify the bacterium. Agar plates containing nitrogen and urea were used to separate the isolates from the air. Tests for biochemical features included the Starch Hydrolysis Test, Urease Test, Oxidase Test, Methyl Red Test, Voges-Proskauer Test, Citrate Utilization Test, Triple-Sugar Iron Agar Test, and Catalase Test. The nickel ABC transporter substrate-binding protein for Staphylococcus sp. was also obtained from the National Centre for Biotechnology Information (NCBI) database for Protein Homology Modelling. For additional homology modelling, the FASTA sequence that matches the NCBI reference sequence WP_293725459.1 was used. Computational biologists and bioinformaticians have been able to comprehend complicated relationships for drug lead identification and prospective treatments thanks to protein homology modelling. There is an urgent need for computational assessments in holistic health care because to the serious threat posed by deadly diseases such chronic kidney disease, calculi, and urinary tract infections. Using molecular docking, PDB file preparation, pocket setting, molecular database preparation, docking software selection, job monitoring, outcome analysis, and visualization were all part of the SWISS-MODEL protein homology modelling process. For high-throughput screening of possible drug ligands in drug banks, the VSTH web server was utilized. This initial effort will make it possible to examine powerful medications against urinary tract infections using microbiological linked computing.

Keywords

Homology modeling, Microflora, nikA protein, Thanjavur bus stand, Urinary tract infections, Virtual screening.

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    © The Author(s) 2025. This article is published by International Journal of Zoology and Applied Biosciences under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.