2022
DOI: 10.1007/s00203-022-02982-y
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Computational identification of putative copper-binding proteins in pomegranate bacterial blight pathogen Xanthomonas citri pv. punicae

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Cited by 3 publications
(2 citation statements)
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“…In this study, we employed a systematic computational pipeline of open‐access tools with documented better prediction accuracy, broad recognition, and trustworthiness. Furthermore, similar pipeline adoption by other researchers in published work, particularly in extracting metal‐binding proteins from microorganisms, further validated its suitability for our study 7,29 …”
Section: Introductionsupporting
confidence: 69%
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“…In this study, we employed a systematic computational pipeline of open‐access tools with documented better prediction accuracy, broad recognition, and trustworthiness. Furthermore, similar pipeline adoption by other researchers in published work, particularly in extracting metal‐binding proteins from microorganisms, further validated its suitability for our study 7,29 …”
Section: Introductionsupporting
confidence: 69%
“…Furthermore, similar pipeline adoption by other researchers in published work, particularly in extracting metal-binding proteins from microorganisms, further validated its suitability for our study. 7,29 We have also identified iron-and copper-binding effector candidates which may be involved in the virulence of Fol. In this in-depth in silico investigation, we present a comprehensive catalog of putative candidate metalloproteins that may serve as valuable starting points for subsequent experimental analysis and may be targeted to mitigate the virulence of phytopathogenic fungi.…”
mentioning
confidence: 99%