iNitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning

In biological systems, Nitration is a crucial post-translational modification which occurs on various amino acids. Nitration of Tyrosine is regarded as nitorsative stress biomarker resulting in the formation of peroxynitrite and other reactive and harmful nitrogen species. NitroTyrosine is closely r...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.73624-73640
Hauptverfasser:	Naseer, Sheraz, Ali, Rao Faizan, Fati, Suliman Mohamed, Muneer, Amgad
Format:	Artikel
Sprache:	eng
Schlagworte:	Amino acids Artificial neural networks Autoimmune diseases Biomarkers Cancer Carcinogenesis Carcinogens convolutional neural network Correlation coefficients deep features Deep learning Evaluation Feature extraction Neural networks Nitration Nitrogen Pathology Peptides Prediction algorithms Predictive models PseAAC PTM recurrent neural networks Signs and symptoms Tyrosine
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