Keywords: ترکیب اسید آمینه اسید; Abbreviation; Annotation; nsSNVs; Non-Synonymous Single-Nucleotide Variants; MLTs; Machine Learning Techniques; SVM; Support Vector Machine; RF; Random Forest; ANN; Artificial Neural Network; SDM; Site-Directed Mutate; APOGEE; The pathogenicity Prediction
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Keywords: ترکیب اسید آمینه اسید; Pseudo amino acid composition; Position weight matrix; Random forest; Support vector machine;
Prediction subcellular localization of Gram-negative bacterial proteins by support vector machine using wavelet denoising and Chou's pseudo amino acid composition
Keywords: ترکیب اسید آمینه اسید; Gram-negative bacteria; Subcellular localization; Pseudo amino acid composition; Two-dimensional wavelet denoising; Support vector machine;
Keywords: ترکیب اسید آمینه اسید; Protein structural class prediction; Pseudo amino acid composition; Two-dimensional wavelet denoising; Support vector machine;
Keywords: ترکیب اسید آمینه اسید; Protein solubility; Pseudo amino acid composition; Entropy in information theory; Chaos game representation; Support Vector Machine
Keywords: ترکیب اسید آمینه اسید; Pseudo amino acid composition; ET_KNN; OET_KNN; Sub-subcellular localization; Subchloroplast locations;
BlaPred: Predicting and classifying β-lactamase using a 3-tier prediction system via Chou's general PseAAC
Keywords: ترکیب اسید آمینه اسید; β-lactamase; Antibiotic resistance; Support vector machine; Leave-one-out cross-validation; Pseudo amino acid composition;
pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC
Keywords: ترکیب اسید آمینه اسید; GO; Gene Ontology; PseAAC; Pseudo Amino Acid Composition; ML-GKR; multi-label Gaussian kernel; Multi-label system; GO; PseAAC, ML-GKR, Chou's metrics;
iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
Keywords: ترکیب اسید آمینه اسید; Physicochemical properties; Wavelets transforms; Pseudo amino acid composition; Random forests; Fusion; Voting system; Ensemble classifier
iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition
Keywords: ترکیب اسید آمینه اسید; RNA methylation; Pseudo dinucleotide composition: PseKNC; Global sequence pattern; Flexible scaled window; mRNA; messenger RNA; m6A; N6-methyladenosine; NAC; nucleic acid composition; PseDNC; pseudo dinucleotide composition; SVM; support vector machine; R
Predicting network of drug–enzyme interaction based on machine learning method
Keywords: ترکیب اسید آمینه اسید; Drug–enzyme interaction; CfsSubset; Machine learning; Random Forest; Pseudo amino acid composition; Molecular descriptor
Classifying G-protein-coupled receptors to the finest subtype level
Keywords: ترکیب اسید آمینه اسید; G-protein-coupled receptor; Hierarchical classification; Pseudo amino acid composition; Subtype level; Support vector machines;
iCDI-PseFpt: Identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints
Keywords: ترکیب اسید آمینه اسید; Ion channels; Gray model; Molecular fingerprints; Fuzzy K-nearest neighbor algorithm; Pseudo amino acid composition;
Using the concept of Chou's pseudo amino acid composition to predict protein solubility: An approach with entropies in information theory
Keywords: ترکیب اسید آمینه اسید; Protein solubility; Pseudo amino acid composition; Entropy in information theory; Support vector machine
iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
Keywords: ترکیب اسید آمینه اسید; Antimicrobial peptide; Pseudo amino acid composition; Physicochemical properties; Fuzzy K-nearest neighbor; Multi-label classification
Protein structural classification based on pseudo amino acid composition using SVM classifier
Keywords: ترکیب اسید آمینه اسید; Pseudo amino acid composition; Support vector machine; Minimal-distance methods; Protein structural class; SCOP database
Feature Selection of Protein Structural Classification Using SVM Classifier
Keywords: ترکیب اسید آمینه اسید; pseudo amino acid composition; support vector machine; principal component analysis; recursive feature elimination; feature selection; SCOP database
Prediction of pattern recognition receptor family using pseudo-amino acid composition
Keywords: ترکیب اسید آمینه اسید; Pattern recognition receptor; Function prediction; Pseudo amino acid composition; Computational biology; Support vector machines
ProClusEnsem: Predicting membrane protein types by fusing different modes of pseudo amino acid composition
Keywords: ترکیب اسید آمینه اسید; Membrane protein types prediction; Pseudo amino acid composition; Linear dimensionality reduction; Distance metric; Clustering; Tikhonov regularization;
Identify submitochondria and subchloroplast locations with pseudo amino acid composition: Approach from the strategy of discrete wavelet transform feature extraction
Keywords: ترکیب اسید آمینه اسید; Submitochondria locations; Subchloroplast locations; Discrete wavelet transform; Support vector machine; Pseudo amino acid composition
CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition
Keywords: ترکیب اسید آمینه اسید; Ensemble classifier; Protein subcellular location; Pseudo amino acid composition; Dipeptide composition
Improving discrimination of outer membrane proteins by fusing different forms of pseudo amino acid composition
Keywords: ترکیب اسید آمینه اسید; Membrane protein; Structure; Physicochemical property; Pseudo amino acid composition; Computational biology
Predicting protein fold pattern with functional domain and sequential evolution information
Keywords: ترکیب اسید آمینه اسید; Protein folding; Taxonomic approach; Functional domain; Sequential evolution; Fusion; OET-KNN; Pseudo amino acid composition
Prediction of nuclear receptors with optimal pseudo amino acid composition
Keywords: ترکیب اسید آمینه اسید; Nuclear receptors; Subfamily prediction; Physicochemical character; Pseudo amino acid composition; Support vector machines;
Prediction of G-protein-coupled receptor classes based on the concept of Chou’s pseudo amino acid composition: An approach from discrete wavelet transform
Keywords: ترکیب اسید آمینه اسید; Discrete wavelet transform; Support vector machine; Hydrophobicity scale; G-protein-coupled receptors; Pseudo amino acid composition
Predicting protein structural classes with pseudo amino acid composition: An approach using geometric moments of cellular automaton image
Keywords: ترکیب اسید آمینه اسید; Cellular automaton; Space-time evolution; Image texture; Geometric invariant moment; Pseudo amino acid composition; Covariant-discriminant algorithm; Chou's invariant theorem;
Using Chou’s pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifier
Keywords: ترکیب اسید آمینه اسید; Apoptosis protein subcellular location; Pseudo amino acid composition; Approximate entropy; Ensemble classifier; Fuzzy K-nearest neighbor classifier
Signal-3L: A 3-layer approach for predicting signal peptides
Keywords: ترکیب اسید آمینه اسید; 3-Layer predictor; Global alignment; {−3, −1, +1} coupling; Fusion; Pseudo amino acid composition; PseAA server
Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition
Keywords: ترکیب اسید آمینه اسید; Nucleus; Nuclear proteins; Subnuclear location; Gene products; Evidence theory; KNN classifier; Dempster's rule; Pseudo amino acid composition; Jackknife test;
SLLE for predicting membrane protein types
Keywords: ترکیب اسید آمینه اسید; Nonlinear dimensionality reduction; SLLE; Pseudo amino acid composition; Covariant discriminant algorithm; Chou's invariance theorem; Membrane protein types; Bioinformatics;