2021
DOI: 10.1016/j.jmgm.2021.107962
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Prediction of protein ubiquitination sites via multi-view features based on eXtreme gradient boosting classifier

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Cited by 11 publications
(5 citation statements)
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“…Nonetheless, several concerns must be taken into account when developing drugs based on the PTMs of Keap1 to facilitate future clinical applications. Firstly, the activation of downstream antioxidant genes in the Keap1-Nrf2 pathway is primarily mediated by Nrf2, while the regulation of Nrf2 itself is not solely dependent on Keap1 ( Liu et al, 2021b ). Additionally, excessive activation of Nrf2 can lead to physiological abnormalities, underscoring the importance of controlling drug release to minimize adverse reactions.…”
Section: Discussionmentioning
confidence: 99%
“…Nonetheless, several concerns must be taken into account when developing drugs based on the PTMs of Keap1 to facilitate future clinical applications. Firstly, the activation of downstream antioxidant genes in the Keap1-Nrf2 pathway is primarily mediated by Nrf2, while the regulation of Nrf2 itself is not solely dependent on Keap1 ( Liu et al, 2021b ). Additionally, excessive activation of Nrf2 can lead to physiological abnormalities, underscoring the importance of controlling drug release to minimize adverse reactions.…”
Section: Discussionmentioning
confidence: 99%
“…Computational tool of prediction is a helpful alternative. This type of tools has gained great popularity with the increasing interest on the identification of ubiquitination sites; thus, many prediction tools have been developed [40][41][42][43][44][45][46] . However, most of these tools yield small-scale protein datasets.…”
Section: Discussionmentioning
confidence: 99%
“…Support vector machine (SVM) software is a widely used machine learning method for classi cation, regression, and other learning tasks in many areas (46,47). Based on SVM algorithm, Huang et al designed the predictor known as UbiSite (39,40). To construct the predictor, the researchers not only assessed the single features of amino acid composition, amino acid pair composition and evolutionary information, but also incorporated two or more features into a hybrid approach.…”
Section: Discussionmentioning
confidence: 99%