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Updated: Sep 28, 2025

Nitropeptide Profiling and Identification Illustrated by Angiotensin II

Nitropeptide Profiling and Identification Illustrated by Angiotensin II

Published on: June 16, 2019

Accurately predicting nitrosylated tyrosine sites using probabilistic sequence information.

Afrida Rahman¹, Sabit Ahmed¹, Md Al Mehedi Hasan¹

¹Department of Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.

|March 31, 2022

Summary

This summary is machine-generated.

This study introduces PredNitro, a machine learning tool that accurately predicts nitrotyrosine sites on proteins. This method offers a faster and more cost-effective alternative to current experimental techniques for identifying these important protein modifications.

Keywords:

Data Imbalance Issue General PseAAC Nitrotyrosine Sites Prediction Post-translational modification Sequence-coupling Model Support Vector Machine

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Published on: July 14, 2017

Area of Science:

Biochemistry
Computational Biology
Bioinformatics

Background:

Post-translational modification (PTM) involves enzymatic changes to proteins after synthesis.
Nitrotyrosine, a key PTM, is linked to diseases involving inflammation and cell damage.
Current experimental methods for identifying nitrotyrosine sites are time-consuming and expensive.

Purpose of the Study:

To develop a novel machine learning approach for accurate nitrotyrosine site prediction.
To provide a computationally efficient alternative to experimental methods.

Main Methods:

Utilized sequence coupling information from amino acid neighbors of tyrosine residues.
Employed a support vector machine (SVM) as the core classification algorithm.
Developed PredNitro, an online prediction tool.

Main Results:

PredNitro achieved 98.0% accuracy in predicting nitrotyrosine sites.
Demonstrated high performance with MCC > 0.96 and AUC > 0.99.
Outperformed previous prediction methods in cross-validation tests.

Conclusions:

PredNitro offers a highly accurate and efficient method for identifying nitrotyrosine sites.
The tool can accelerate research in diseases associated with nitrotyrosine modification.
PredNitro is available as a public online predictor.