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The ITS2 Database
Published on: March 12, 2012
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Prediction of 2-hydroxyisobutyrylation sites by integrating multiple sequence features with ensemble support vector
1College of Science, Shenyang Aerospace University, 110136, People's Republic of China.
Computational Biology and Chemistry
|June 8, 2020
Summary
A new bioinformatics tool, KhibPred, accurately predicts lysine 2-hydroxyisobutyrylation (Khib) sites. This histone mark impacts DNA association, and KhibPred aids understanding its molecular mechanisms.
Area of Science:
- Biochemistry
- Bioinformatics
- Epigenetics
Background:
- Lysine 2-hydroxyisobutyrylation (Khib) is an emerging histone modification.
- Khib influences the interaction between histones and DNA.
- Accurate identification of Khib sites is crucial for understanding its molecular mechanisms.
Purpose of the Study:
- To develop a novel bioinformatics tool, KhibPred, for predicting Khib sites.
- To accurately identify 2-hydroxyisobutyrylated substrates and their Khib sites in human HeLa cells.
Main Methods:
- Incorporation of three effective features: k-spaced amino acid pair composition, binary encoding, and amino acid factors.
- Utilizing an ensemble support vector machine to address prediction imbalance.
- Performance evaluation using 10-fold cross-validation.
Main Results:
- KhibPred achieved a satisfactory performance with an area under the receiver operating characteristic curve of 0.7937.
- Feature analysis indicated the significant role of polarity factor features in Khib site prediction.
Conclusions:
- KhibPred serves as a valuable tool for predicting protein Khib sites.
- The findings offer insights into the molecular mechanisms of Khib.
Keywords:
2-HydroxyisobutyrylationEnsemble support vector machineFeature extractionPost-translational modificationMore Related Videos
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