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- W2912803222 endingPage "95" @default.
- W2912803222 startingPage "95" @default.
- W2912803222 abstract "Lysine succinylation is a form of posttranslational modification of the proteins that play an essential functional role in every aspect of cell metabolism in both prokaryotes and eukaryotes. Aside from experimental identification of succinylation sites, there has been an intense effort geared towards the development of sequence-based prediction through machine learning, due to its promising and essential properties of being highly accurate, robust and cost-effective. In spite of these advantages, there are several problems that are in need of attention in the design and development of succinylation site predictors. Notwithstanding of many studies on the employment of machine learning approaches, few articles have examined this bioinformatics field in a systematic manner. Thus, we review the advancements regarding the current state-of-the-art prediction models, datasets, and online resources and illustrate the challenges and limitations to present a useful guideline for developing powerful succinylation site prediction tools." @default.
- W2912803222 created "2019-02-21" @default.
- W2912803222 creator A5043771897 @default.
- W2912803222 creator A5061480012 @default.
- W2912803222 creator A5073314544 @default.
- W2912803222 date "2019-01-28" @default.
- W2912803222 modified "2023-10-16" @default.
- W2912803222 title "Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites" @default.
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