Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location

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Prediction subcellular localization of Gram-negative bacterial proteins by support vector machine using wavelet denoising and Chou's pseudo amino acid composition

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Accurate RNA 5-methylcytosine site prediction based on heuristic physical-chemical properties reduction and classifier ensemble

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Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble

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Improving discrimination of outer membrane proteins by fusing different forms of pseudo amino acid composition

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Computational Prediction of Subcellular Localization

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An Ensemble Method for Predicting Subnuclear Localizations from Primary Protein Structures

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Identifying Protein Subcellular Locations With Embeddings-Based node2loc

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Mito-GSAAC: mitochondria prediction using genetic ensemble classifier and split amino acid composition

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Improving N6-methyladenosine site prediction with heuristic selection of nucleotide physical–chemical properties

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Using string kernel to predict signal peptide cleavage site based on subsite coupling model

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Protein subcellular localization prediction using multiple kernel learning based support vector machine

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Prediction of Thermophilic Protein with Pseudo Amino Acid Composition: An Approach from Combined Feature Selection and Reduction

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Predicting 22 protein localizations in budding yeast

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Using the concept of Chou's pseudo amino acid composition to predict protein solubility: An approach with entropies in information theory

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A Survey of Computational Intelligence Techniques in Protein Function Prediction

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Recognition of Fold and Sugar Linkage for Glycosyltransferases by Multivariate Sequence Analysis

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Systematic Analysis of Arabidopsis Organelles and a Protein Localization Database for Facilitating Fluorescent Tagging of Full-Length Arabidopsis Proteins

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Predict potential drug targets from the ion channel proteins based on SVM

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Improved prediction of subcellular location for apoptosis proteins by the dual-layer support vector machine

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Esub8: A novel tool to predict protein subcellular localizations in eukaryotic organisms

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AAIndexLoc: predicting subcellular localization of proteins based on a new representation of sequences using amino acid indices

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RSLpred: an integrative system for predicting subcellular localization of rice proteins combining compositional and evolutionary information

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A Multi-Label Predictor for Identifying the Subcellular Locations of Singleplex and Multiplex Eukaryotic Proteins

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'Unite and conquer': enhanced prediction of protein subcellular localization by integrating multiple specialized tools

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Exploiting Pharma 4.0 Technologies in the Non-Biological Complex Drugs Manufacturing: Innovations and Implications

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Identification of voltage-gated potassium channel subfamilies from sequence information using support vector machine

Chen, W., & Lin, H. (2012) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2012.01.003 · Cited by 39

Multi-Label Multi-Kernel Transfer Learning for Human Protein Subcellular Localization

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Prediction of presynaptic and postsynaptic neurotoxins by combining various Chou’s pseudo components

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Impacts of Pseudo Amino Acid Components and 5-steps Rule to Proteomics and Proteome Analysis

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SecretP: A new method for predicting mammalian secreted proteins

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Prediction of mitochondrial proteins based on genetic algorithm – partial least squares and support vector machine

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CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition

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Identification of RNA-binding sites in proteins by integrating various sequence information

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Methodology development for predicting subcellular localization and other attributes of proteins

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An ensemble of support vector machines for predicting the membrane protein type directly from the amino acid sequence

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Prediction of DNase I Hypersensitive Sites by Using Pseudo Nucleotide Compositions

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Prediction of subcellular location apoptosis proteins with ensemble classifier and feature selection

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SVMCRYS: An SVM Approach for the Prediction of Protein Crystallization Propensity from Protein Sequence

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PROTEIN SUBCELLULAR MULTI-LOCALIZATION PREDICTION USING A MIN-MAX MODULAR SUPPORT VECTOR MACHINE

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R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization

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Recent Progresses in Identifying Nuclear Receptors and Their Families

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Discovering the Targets of Drugs Via Computational Systems Biology

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Prediction of midbody, centrosome and kinetochore proteins based on gene ontology information

Chen, W., & Lin, H. (2010) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2010.09.061 · Cited by 33

Proteome-wide Prediction of Lysine Methylation Leads to Identification of H2BK43 Methylation and Outlines the Potential Methyllysine Proteome

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Protein cellular localization prediction with Support Vector Machines and Decision Trees

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Extreme Learning Machine based bacterial protein subcellular localization prediction

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Predicting the Types of J-Proteins Using Clustered Amino Acids

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Intelligent computational model for classification of sub-Golgi protein using oversampling and fisher feature selection methods

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Protein classification using texture descriptors extracted from the protein backbone image

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Multilabel Learning via Random Label Selection for Protein Subcellular Multilocations Prediction

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Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model

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Using Maximum Entropy Model to Predict Protein Secondary Structure with Single Sequence

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Classification of protein quaternary structure by functional domain composition

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Prediction of protein signal sequences and their cleavage sites by statistical rulers

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Is There Any Sequence Feature in the RNA Pseudouridine Modification Prediction Problem?

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Identification of protein functions in mouse with a label space partition method

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Annotating proteins from endoplasmic reticulum and Golgi apparatus in eukaryotic proteomes

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Prediction of presynaptic and postsynaptic neurotoxins by the increment of diversity

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Recent Advances in Predicting Protein Classification and Their Applications to Drug Development

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Protein structure similarity from principle component correlation analysis

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New approach for segmentation and quantification of two-dimensional gel electrophoresis images

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Use Chou’s 5-Steps Rule to Predict Remote Homology Proteins by Merging Grey Incidence Analysis and Domain Similarity Analysis

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Predicting networking couples for metabolic pathways of Arabidopsis

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Application of protein grey incidence degree measure to predict protein quaternary structural types

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Prediction of Small Molecules Metabolic Pathways Based on Functional Group Composition

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Machine learning and comparative genomics approaches for the discovery of xylose transporters in yeast

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Prediction of zinc binding sites in proteins using sequence derived information

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Using the nonlinear dimensionality reduction method for the prediction of subcellular localization of Gram-negative bacterial proteins

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TSSub: eukaryotic protein subcellular localization by extracting features from profiles

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ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based On g-Spaced Di-peptide Features and Support Vector Machine

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Automatic transcription factor classifier based on functional domain composition

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Prediction of protein secondary structure content using support vector machine

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Identifying novel peroxisomal proteins

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Identification of Amino Acid Propensities That Are Strong Determinants of Linear B-cell Epitope Using Neural Networks

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Prediction of the parallel/antiparallel orientation of beta-strands using amino acid pairing preferences and support vector machines

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Accurate prediction of protein structural classes using functional domains and predicted secondary structure sequences

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MSLoc-DT: A new method for predicting the protein subcellular location of multispecies based on decision templates

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Support Vector Machines for Predicting Apoptosis Proteins Types

Huang, J., & Shi, F. (2005) · Acta Biotheoretica · doi:10.1007/s10441-005-7002-5 · Cited by 22

miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides

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γ-Turn types prediction in proteins using the support vector machines

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Protein location prediction using atomic composition and global features of the amino acid sequence

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Improved multi-label classifiers for predicting protein subcellular localization

Chen, L., Qu, R., & Liu, X. (2023) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2024010 · Cited by 20

Using the concept of pseudo amino acid composition to predict resistance gene against Xanthomonas oryzae pv. oryzae in rice: An approach from chaos games representation

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Protein subcellular location prediction using optimally weighted fuzzy k-NN algorithm

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Genome-Scale Characterization of Predicted Plastid-Targeted Proteomes in Higher Plants

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Prediction of β-turns with learning machines

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An SVM method using evolutionary information for the identification of allergenic proteins

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Multilabel Learning for Protein Subcellular Location Prediction

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Predicting Subcellular Localization of Apoptosis Proteins Combining GO Features of Homologous Proteins and Distance Weighted KNN Classifier

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Classification of Transcription Factors Using Protein Primary Structure

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Protein sequence information extraction and subcellular localization prediction with gapped k-Mer method

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