Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins

Research article (Journal of Translational Medicine, 2021) · cited 29× · AI/ML
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Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins

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Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-phosphorylation-sites-using-machine-learning-by-integrating-the-sequence-structure-and-functional-information
MLA “Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-phosphorylation-sites-using-machine-learning-by-integrating-the-sequence-structure-and-functional-information.
BibTeX @misc{4ortxyz_predicting-phosphorylation-sites-using-machine-learning-by-integrating-the-sequence-structure-and-functional-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-phosphorylation-sites-using-machine-learning-by-integrating-the-sequence-structure-and-functional-information}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins — https://4ort.xyz/entity/predicting-phosphorylation-sites-using-machine-learning-by-integrating-the-sequence-structure-and-functional-information (retrieved 2026-05-24)

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