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Online ISSN:-2582-1075

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Received : 10-06-2024

Accepted : 13-07-2024



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STRING analysis of beta-lactamase in : Identification and characterization of predicted functional partners


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Original Article

Author Details : Sanjay Vijay, Viveka T , Yuvashri Gobinathan, Prakash Balu*

Volume : 6, Issue : 2, Year : 2024

Article Page : 42-45

https://doi.org/10.18231/j.ijrimcr.2024.047



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Abstract

Introduction: This study investigates the functional roles and predicted interactions of the putative beta-lactamase STY4057 in using STRING database analysis. is a pathogenic bacterium responsible for typhoid fever, presenting significant public health challenges.
Methods: We identified several key functional partners of STY4057 by exploring various interaction criteria, including gene fusion, co-occurrence, co-expression, and experimental data through STRING database analysis.
Results: The analysis revealed interactions with regulatory proteins, metabolic enzymes, and proteins involved in adhesion and biofilm formation. High-confidence interactions with STY4058 (a regulatory protein) and apeE (an outer membrane esterase) suggest significant roles in transcriptional regulation and lipid metabolism.
Discussion: The findings underscore the potential contribution of STY4057 to antibiotic resistance and pathogenicity in . Interactions with regulatory proteins like STY4058 may influence beta-lactamase expression, while interactions with metabolic enzymes like apeE could affect membrane permeability and antibiotic influx, providing insights into s survival and resistance mechanisms.
Conclusion : This study lays the groundwork for future experimental validation and therapeutic target development, offering insights into s survival and resistance capabilities. Further research is needed to validate these interactions and explore their potential as therapeutic targets.


Keywords: Beta-lactamase, Salmonella typhi, STRING database, Antibiotic resistance



How to cite : Vijay S, Viveka T, Gobinathan Y, Balu P, STRING analysis of beta-lactamase in : Identification and characterization of predicted functional partners. Int J Recent Innov Med Clin Res 2024;6(2):42-45


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