Pages that link to "Item:Q2632567"

The following pages link to Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition (Q2632567):

Displaying 24 items.

• Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition (Q739676) (← links)
• Prediction of structural classes for protein sequences and domains--impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy (Q850136) (← links)
• A method for protein accessibility prediction based on residue types and conformational states (Q936010) (← links)
• PreSSAPro: a software for the prediction of secondary structure by amino acid properties (Q936014) (← links)
• Predicting protein fold pattern with functional domain and sequential evolution information (Q1617370) (← links)
• Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation (Q1617743) (← links)
• A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction (Q1631276) (← links)
• Predicting structural classes of proteins by incorporating their global and local physicochemical and conformational properties into general Chou's PseAAC (Q1714173) (← links)
• Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (Q1714359) (← links)
• Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach (Q1717326) (← links)
• A high-accuracy protein structural class prediction algorithm using predicted secondary structural information (Q1733003) (← links)
• Discriminating bioluminescent proteins by incorporating average chemical shift and evolutionary information into the general form of Chou's pseudo amino acid composition (Q1790807) (← links)
• Predicting protein structural class based on multi-features fusion (Q1795105) (← links)
• Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image (Q1797606) (← links)
• Secondary structure prediction of protein based on multi scale convolutional attention neural networks (Q1984083) (← links)
• Using pseudo-amino acid composition and support vector machine to predict protein structural class (Q2202397) (← links)
• Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes (Q2211634) (← links)
• Novel 3D bio-macromolecular bilinear descriptors for protein science: predicting protein structural classes (Q2630314) (← links)
• Improving the prediction accuracy of protein structural class: approached with alternating word frequency and normalized Lempel-Ziv complexity (Q2632396) (← links)
• Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces (Q2632581) (← links)
• A protein structural classes prediction method based on PSI-BLAST profile (Q2632866) (← links)
• Using protein granularity to extract the protein sequence features (Q2635021) (← links)
• An association multi-classification algorithm based on the secondary structure sequence of proteins (Q3016694) (← links)
• Prediction of the protein secondary structure of SARS-CoV-2 nucleocapsid protein through the convolutional neural network based on a position-specific scoring matrix (Q4996533) (← links)