Annotating the protein-RNA interaction sites in proteins using evolutionary information and protein backbone structure
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Publication:293785
DOI10.1016/j.jtbi.2012.07.020zbMath1337.92160OpenAlexW2084438884WikidataQ84753987 ScholiaQ84753987MaRDI QIDQ293785
Publication date: 9 June 2016
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2012.07.020
support vector machinePSSM profileRNA-binding sitessolvent accessible surface areatorsion angles \((\varphi,\psi)\)
Uses Software
Cites Work
- Predicting protein fold pattern with functional domain and sequential evolution information
- Predicting DNA- and RNA-binding proteins from sequences with kernel methods
- Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
- Predict potential drug targets from the ion channel proteins based on SVM
- Some remarks on protein attribute prediction and pseudo amino acid composition
- Prediction of GABA\(_{\mathrm A}\) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
- \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
- The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition
- Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes
- Prediction of membrane protein types from sequences and position-specific scoring matrices
- MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM
- Transactions on Computational Systems Biology IV
