Predicting Golgi-resident protein types using pseudo amino acid compositions: approaches with positional specific physicochemical properties
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Publication:304850
DOI10.1016/J.JTBI.2015.11.009zbMath1343.92154OpenAlexW2207974024WikidataQ86970645 ScholiaQ86970645MaRDI QIDQ304850
Publication date: 26 August 2016
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2015.11.009
Biochemistry, molecular biology (92C40) Molecular structure (graph-theoretic methods, methods of differential topology, etc.) (92E10)
Related Items (3)
Predicting protein sub-Golgi locations by combining functional domain enrichment scores with pseudo-amino acid compositions ⋮ MFSC: multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components ⋮ Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection
Uses Software
- LIBSVM
- Cell-PLoc
- PseAAC
- PredLactamase
- Nuc-ploc
- repDNA
- PseKNC-General
- iNuc-PseKNC
- repRNA
- PSI-BLAST
- BLAST
- MultiP-SChlo
- propy
- PseAAC-Builder
- Pse-in-One
- iPro54-PseKNC
- iPPI-Esml
- iAMP-2L
- iLoc-Virus
- iLoc-Gpos
- iLoc-Plant
- Euk-PLoc
- Virus-ploc
- iDNA-Methyl
- PseDNA-Pro
- iMiRNA-PseDPC
- iLoc-Animal
- PseAAC-General
- SubChlo
- SubMito-PSPCP
- iLoc-Hum
- iLoc-Euk
- PseKNC
- iRSpot-PseDNC
- iRNA-Methyl
- iCTX-Type
- iSNO-AAPair
- iTIS-PseTNC
- AAindex
Cites Work
- Unnamed Item
- Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition
- SubChlo: predicting protein subchloroplast locations with pseudo-amino acid composition and the evidence-theoretic \(K\)-nearest neighbor (ET-KNN) algorithm
- Some remarks on protein attribute prediction and pseudo amino acid composition
- \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
- Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine
- Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
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