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Publication for PRINTR
Non Coding RNAs in Lung Cancer: Contribution of Bioinformatics Analysis to the Development of Non Invasive Diagnostic Tools
[…] r algorithm like Struct-NB combine sequence and structural-based information of protein-RNA complex interfaces from PDB using a Gaussian Naive Bayes classifiers machine learning algorithm , whereas PRINTR calculates interactions using a SVM and PSSM [,].All these algorithms perform high-confidence lncRNA–protein interaction predictions and are helpful to find potential RNA–protein interaction pa […]
Identification of protein RNA interaction sites using the information of spatial adjacent residues
[…] for prediction of DNA and RNA binding sites based on the information of side chain pKa value, hydrophobicity index and molecular mass of an amino acid. Later, Wang  also develop a SVM-based method PRINTR to identify RNA binding sites in proteins using different feature information, such as single sequence, multiple sequence alignment, secondary structure and solvent accessibility. Manish  dev […]
Predicting RNA binding residues from evolutionary information and sequence conservation
[…] n, window-based cross-validation can yield overly optimistic estimates of the performance of classifier relative to the estimates obtained using sequence-based cross-validation. RNAProB, BindN, RISP, PRINTR and PiRaNhA are predictors that report performance window-based k-fold cross-validation while Pprint and RNABindR report performance with sequence-based k-fold cross-validation. The predictors […]
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