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Scholars Journal of Engineering and Technology | Volume-12 | Issue-07 Call for paper
Bioinformatics analysis of Klebsiella pneumoniae and its Proteins
Wang Wenyi, Ma Cong, Wang Yanhong
Published: July 25, 2024 | 37 17
DOI: 10.36347/sjet.2024.v12i07.005
Pages: 242-250
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Abstract
Objective: To analyze the structure and properties of Klebsiella pneumoniae and its encoded proteins. Methods: To analyze and predict the gene of Klebsiella pneumoniae and to analyze and predict the sequence and structure of its encoded proteins by using various information analysis tools in NCBI, ExPASy and other websites. The analysis of the gene sequence (homology analysis, multiple sequence comparison, conserved region analysis, gene structure prediction, gene annotation, enzyme cleavage site analysis, primer design, six-frame translation, etc.), protein sequence analysis and structure prediction (primary structure analysis, subcellular localization, signal peptide, transmembrane information, secondary structure prediction, three-dimensional structural homology modeling, etc.), molecular phylogenetic analysis (constructing phylogenetic tree), and molecular phylogenetic analysis (constructing phylogenetic tree). Conclusion: We successfully analyzed and predicted the sequence and structure of Klebsiella pneumoniae and its encoded proteins, with a view to providing reference for the in-depth study of the biological properties of SapC, the ABC transporter permease of Klebsiella pneumoniae, the establishment of a rapid detection method for the bacterium, and the selection of targets for subunit and nucleic acid vaccines, and laying a foundation for the further understanding and utilization of this gene.