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iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions
Research article (Journal of Biomolecular Structure and Dynamics, 2021) · cited 55× · AI/ML
iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions
Summary
iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions is a scholarly article[1].
Key Facts
iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions. Retrieved May 24, 2026, from https://4ort.xyz/entity/igluk-deep-computational-identification-of-lysine-glutarylation-sites-using-deep-neural-networks-with-general-pseudo-ami
MLA“iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/igluk-deep-computational-identification-of-lysine-glutarylation-sites-using-deep-neural-networks-with-general-pseudo-ami.
BibTeX@misc{4ortxyz_igluk-deep-computational-identification-of-lysine-glutarylation-sites-using-deep-neural-networks-with-general-pseudo-ami_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions}}, year = {2026}, url = {https://4ort.xyz/entity/igluk-deep-computational-identification-of-lysine-glutarylation-sites-using-deep-neural-networks-with-general-pseudo-ami}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions — https://4ort.xyz/entity/igluk-deep-computational-identification-of-lysine-glutarylation-sites-using-deep-neural-networks-with-general-pseudo-ami (retrieved 2026-05-24)
