iNitro-Tyr
iNitro-Tyr predicts nitrotyrosine sites in protein sequences to identify tyrosine residues susceptible to nitration and support studies of nitrotyrosine-related post-translational modification in diseases such as rheumatoid arthritis, septic shock, and coeliac disease.
Key Features:
- Prediction target: Identifies nitrotyrosine (tyrosine nitration) sites within protein sequences as a specific post-translational modification (PTM).
- Model composition: Integrates position-specific dipeptide propensity with general pseudo amino acid composition for site discrimination.
- Validation: Performance assessed using jackknife tests demonstrating improved success rate, stability, and reduced noise relative to existing methods.
- High-throughput capability: Designed for large-scale analysis of protein sequence datasets in postgenomic research.
- Adaptability: Methodology described as applicable to prediction of other PTM sites within proteins.
Scientific Applications:
- Site identification: Locating tyrosine residues susceptible to nitration in uncharacterized protein sequences.
- PTM mechanism studies: Supporting investigations into the functional and mechanistic roles of nitrotyrosine modifications.
- Translational research: Informing nitrotyrosine-based drug development, biomarker discovery, and disease-related studies.
Methodology:
The predictive model combines position-specific dipeptide propensity with general pseudo amino acid composition, and model performance is evaluated using jackknife tests.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/18/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Xu Y, Wen X, Wen L, Wu L, Deng N, Chou K. iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition. PLoS ONE. 2014;9(8):e105018. doi:10.1371/journal.pone.0105018. PMID:25121969. PMCID:PMC4133382.