Pages that link to "Item:Q2219704"
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The following pages link to Prediction of membrane protein types from sequences and position-specific scoring matrices (Q2219704):
Displaying 14 items.
- Annotating the protein-RNA interaction sites in proteins using evolutionary information and protein backbone structure (Q293785) (← links)
- Rough set method accurately predicts unknown protein class/family of Leishmania donovani membrane proteome (Q1644698) (← links)
- IMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid composition (Q1649407) (← links)
- Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition (Q1670554) (← links)
- Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC (Q1714327) (← links)
- Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou's pseudo amino acid composition (Q1715087) (← links)
- Bi-PSSM: position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins (Q1749056) (← links)
- Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern (Q1788146) (← links)
- Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image (Q1797606) (← links)
- Predicting membrane protein type by functional domain composition and pseudo-amino acid composition (Q2194927) (← links)
- Application of density similarities to predict membrane protein types based on pseudo-amino acid composition (Q2413825) (← links)
- Proteome-wide classification and identification of mammalian-type GPCRs by binary topology pattern (Q2490609) (← links)
- Application of residue distribution along the sequence for discriminating outer membrane proteins (Q2500284) (← links)
- A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC (Q2632571) (← links)
