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ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST

https://doi.org/10.1093/nar/gkh350
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/prot.10290openalex-snapshot
A novel approach to the recognition of protein architecture from sequence using fourier analysis and neural networks
inferredcites →https://doi.org/10.1002/prot.340110203openalex-snapshot
Expert system for predicting protein localization sites in gram‐negative bacteria
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Predicting Subcellular Localization of Proteins Based on their N-terminal Amino Acid Sequence
inferredcites →https://doi.org/10.1016/s0022-2836(05)80360-2openalex-snapshot
Basic Local Alignment Search Tool
inferredcites →https://doi.org/10.1016/s0962-8924(98)01226-4openalex-snapshot
Wanted: subcellular localization of proteins based on sequence
inferredcites →https://doi.org/10.1016/s0968-0004(98)01336-xopenalex-snapshot
PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization
inferredcites →https://doi.org/10.1073/pnas.85.8.2444openalex-snapshot
Improved tools for biological sequence comparison.
inferredcites →https://doi.org/10.1093/bioinformatics/17.8.721openalex-snapshot
Support vector machine approach for protein subcellular localization prediction
inferredcites →https://doi.org/10.1093/bioinformatics/18.2.298openalex-snapshot
Extensive feature detection of N-terminal protein sorting signals
inferredcites →https://doi.org/10.1093/bioinformatics/18.5.689openalex-snapshot
Support vector machines with selective kernel scaling for protein classification and identification of key amino acid positions
inferredcites →https://doi.org/10.1093/nar/25.1.31openalex-snapshot
The SWISS-PROT protein sequence data bank and its supplement TrEMBL
inferredcites →https://doi.org/10.1093/nar/26.1.38openalex-snapshot
The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1998
inferredcites →https://doi.org/10.1093/nar/26.9.2230openalex-snapshot
Using neural networks for prediction of the subcellular location of proteins
inferredcites →https://doi.org/10.1093/nar/28.1.45openalex-snapshot
The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000
inferredcites →https://doi.org/10.1093/nar/gkg602openalex-snapshot
PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria
inferredcites →https://doi.org/10.1110/ps.03373104openalex-snapshot
Analysis and prediction of affinity of TAP binding peptides using cascade SVM
inferredcites →https://doi.org/10.17877/de290r-14262openalex-snapshot
Making Large-Scale SVM Learning Practical
inferredcites →https://doi.org/10.5555/299094openalex-snapshot
Advances in kernel methods: support vector learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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LOCSVMPSI: a web server for subcellular localization of eukaryotic proteins using SVM and profile of PSI-BLAST
inferred← citeshttps://doi.org/10.1093/nar/gkl638openalex-snapshot
PLPD: reliable protein localization prediction from imbalanced and overlapped datasets
inferred← citeshttps://doi.org/10.1093/nar/gkl775openalex-snapshot
eSLDB: eukaryotic subcellular localization database
inferred← citeshttps://doi.org/10.1093/nar/gkm217openalex-snapshot
RF-DYMHC: detecting the yeast meiotic recombination hotspots and coldspots by random forest model using gapped dinucleotide composition features
inferred← citeshttps://doi.org/10.1093/nar/gkm562openalex-snapshot
Meta-prediction of protein subcellular localization with reduced voting
inferred← citeshttps://doi.org/10.1093/nar/gkn619openalex-snapshot
Protein networks markedly improve prediction of subcellular localization in multiple eukaryotic species
inferred← citeshttps://doi.org/10.1093/nar/gkq618openalex-snapshot
The Trypanosoma brucei MitoCarta and its regulation and splicing pattern during development
inferred← citeshttps://doi.org/10.1093/nar/gkt428openalex-snapshot
PlantLoc: an accurate web server for predicting plant protein subcellular localization by substantiality motif
inferred← citeshttps://doi.org/10.1093/pcp/pcr167openalex-snapshot
The Integral Membrane Protein SEN1 is Required for Symbiotic Nitrogen Fixation in Lotus japonicus Nodules
inferred← citeshttps://doi.org/10.1101/2020.01.21.855627openalex-snapshot
A repository of web-based bioinformatics resources developed in India
inferred← citeshttps://doi.org/10.1101/2022.06.10.495625openalex-snapshot
Determination of secretion type associated motifs from pathogenic protein sequences
inferred← citeshttps://doi.org/10.1101/2023.10.24.563694openalex-snapshot
Where to stop Ψ-BLAST iterations so that the found sequences remain related to the query sequence?
inferred← citeshttps://doi.org/10.1101/827766openalex-snapshot
GPSRdocker: A Docker-based Resource for Genomics, Proteomics and Systems biology
inferred← citeshttps://doi.org/10.1101/gr.155499.113openalex-snapshot
Proteome-wide discovery of mislocated proteins in cancer
inferred← citeshttps://doi.org/10.1104/pp.110.156851openalex-snapshot
Combining Machine Learning and Homology-Based Approaches to Accurately Predict Subcellular Localization in Arabidopsis
inferred← citeshttps://doi.org/10.1109/access.2019.2907642openalex-snapshot
An Improved Process for Generating Uniform PSSMs and Its Application in Protein Subcellular Localization via Various Global Dimension Reduction Techniques
inferred← citeshttps://doi.org/10.1109/access.2019.2962821openalex-snapshot
Predicting Sub-Golgi Apparatus Resident Protein With Primary Sequence Hybrid Features
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Using Evolutionary Information and Multi-Label Linear Discriminant Analysis to Predict the Subcellular Location of Multi-Site Bacterial Proteins via Chou’s 5-Steps Rule
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New Feature Weighting Technique for Predicting Protein Subcellular Localization
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Multi-label Learning for Protein Subcellular Location Prediction
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A New Balanced Ensemble Classifier for Predicting Fungi Protein Subcellular Localization Based on Protein Primary Structures
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Multi-Class Protein Subcellular Localization Prediction using Support Vector Machines
inferred← citeshttps://doi.org/10.1109/cibcb49929.2021.9562787openalex-snapshot
Identification of chloroplast and sub-chloroplast proteins from sequence-attributed features using support vector machine and domain information
inferred← citeshttps://doi.org/10.1109/cisis.2011.91openalex-snapshot
Methods for Protein Subcellular Localization Prediction
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RßHpred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM and Protein Threading
inferred← citeshttps://doi.org/10.1109/icbbe.2007.33openalex-snapshot
Amino Acid Composition Distribution: a Novel Sequence Representation for Prediction of Protein Subcellular Localization
inferred← citeshttps://doi.org/10.1109/icbbe.2010.5515543openalex-snapshot
Incorporating Homology Using Multi-Instance Kernel for Protein Subcelluar Localization
inferred← citeshttps://doi.org/10.1109/icbbt.2010.5479023openalex-snapshot
Homology based Multi-instance Kernel combination for Gram-negative protein subcelluar localization
inferred← citeshttps://doi.org/10.1109/icdm.2005.52openalex-snapshot
Discriminatively Trained Markov Model for Sequence Classification
inferred← citeshttps://doi.org/10.1109/iembs.2005.1617055openalex-snapshot
Using motifs in the prediction of eukaryotic protein subcellular localization
inferred← citeshttps://doi.org/10.1109/ijcbs.2009.14openalex-snapshot
Structural Domain Based Multiple Instance Learning for Predicting Gram-Positive Bacterial Protein Subcellular Localization
inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207144openalex-snapshot
A Feature Learning based Technique to Classify Medline Disease Abstracts
inferred← citeshttps://doi.org/10.1109/mlsp.2006.275581openalex-snapshot
Eukaryotic Protein Subcellular Localization Based on Local Pairwise Profile Alignment SVM
inferred← citeshttps://doi.org/10.1109/tcbb.2007.070209openalex-snapshot
Subcellular Localization Prediction with New Protein Encoding Schemes
inferred← citeshttps://doi.org/10.1109/tcbb.2007.1015openalex-snapshot
Bidirectional Long Short-Term Memory Networks for Predicting the Subcellular Localization of Eukaryotic Proteins
inferred← citeshttps://doi.org/10.1109/tcbb.2007.70256openalex-snapshot
PairProSVM: Protein Subcellular Localization Based on Local Pairwise Profile Alignment and SVM
inferred← citeshttps://doi.org/10.1109/tcbb.2013.21openalex-snapshot
Multilabel Learning via Random Label Selection for Protein Subcellular Multilocations Prediction
inferred← citeshttps://doi.org/10.1109/tisc.2010.5714613openalex-snapshot
A discrimination method for Golgi type II membrane proteins based on the hydropathy alignment and the position-specific score matrix around their transmembrane regions
inferred← citeshttps://doi.org/10.1109/tnb.2012.2212249openalex-snapshot
Multilabel Learning for Protein Subcellular Location Prediction
inferred← citeshttps://doi.org/10.1109/tnb.2013.2272014openalex-snapshot
Predict Subcellular Locations of Singleplex and Multiplex Proteins by Semi-Supervised Learning and Dimension-Reducing General Mode of Chou's PseAAC
inferred← citeshttps://doi.org/10.1109/wscar.2016.26openalex-snapshot
Improved Bayesian Based Method for Classifying Disease Documents
inferred← citeshttps://doi.org/10.1110/ps.051597405openalex-snapshot
A novel representation of protein sequences for prediction of subcellular location using support vector machines
inferred← citeshttps://doi.org/10.1111/j.1745-7270.2006.00177.xopenalex-snapshot
Local Sequence Information-based Support Vector Machine to Classify Voltage-gated Potassium Channels
inferred← citeshttps://doi.org/10.1111/j.1745-7270.2007.00326.xopenalex-snapshot
Fast Fourier Transform-based Support Vector Machine for Subcellular Localization Prediction Using Different Substitution Models
inferred← citeshttps://doi.org/10.1128/iai.01048-10openalex-snapshot
Interleukin-4-Inducing Principle from Schistosoma mansoni Eggs Contains a Functional C-Terminal Nuclear Localization Signal Necessary for Nuclear Translocation in Mammalian Cells but Not for Its Uptake
inferred← citeshttps://doi.org/10.1128/jvi.02462-09openalex-snapshot
RASCAL Is a New Human Cytomegalovirus-Encoded Protein That Localizes to the Nuclear Lamina and in Cytoplasmic Vesicles at Late Times Postinfection
inferred← citeshttps://doi.org/10.1128/mcb.00002-10openalex-snapshot
The Expression Profile of the Major Mouse SPO11 Isoforms Indicates that SPO11β Introduces Double Strand Breaks and Suggests that SPO11α Has an Additional Role in Prophase in both Spermatocytes and Oocytes
inferred← citeshttps://doi.org/10.1128/msystems.01004-23openalex-snapshot
POOE: predicting oomycete effectors based on a pre-trained large protein language model
inferred← citeshttps://doi.org/10.1142/9781848161092_0006openalex-snapshot
SUPERVISED ENSEMBLES OF PREDICTION METHODS FOR SUBCELLULAR LOCALIZATION
inferred← citeshttps://doi.org/10.1142/s0219720006002405openalex-snapshot
PROTEIN SUBCELLULAR LOCALIZATION BASED ON PSI-BLAST AND MACHINE LEARNING
inferred← citeshttps://doi.org/10.1142/s0219720009004072openalex-snapshot
SUPERVISED ENSEMBLES OF PREDICTION METHODS FOR SUBCELLULAR LOCALIZATION
inferred← citeshttps://doi.org/10.1142/s0219720013500169openalex-snapshot
PROTEIN SUB-CELLULAR LOCALIZATION PREDICTION FOR SPECIAL COMPARTMENTS VIA OPTIMIZED TIME SERIES DISTANCES
inferred← citeshttps://doi.org/10.1152/ajpcell.00237.2009openalex-snapshot
T-cadherin is located in the nucleus and centrosomes in endothelial cells
inferred← citeshttps://doi.org/10.1155/2022/3288527openalex-snapshot
Subcellular Localization Prediction of Human Proteins Using Multifeature Selection Methods
inferred← citeshttps://doi.org/10.1186/1471-2105-10-22openalex-snapshot
Prediction of nuclear proteins using SVM and HMM models
inferred← citeshttps://doi.org/10.1186/1471-2105-10-274openalex-snapshot
MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction
inferred← citeshttps://doi.org/10.1186/1471-2105-10-s1-s47openalex-snapshot
Semi-supervised protein subcellular localization
inferred← citeshttps://doi.org/10.1186/1471-2105-11-339openalex-snapshot
Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear and non-linear data analysis techniques
inferred← citeshttps://doi.org/10.1186/1471-2105-11-563openalex-snapshot
TESTLoc: protein subcellular localization prediction from EST data
inferred← citeshttps://doi.org/10.1186/1471-2105-11-s1-s17openalex-snapshot
Amino acid classification based spectrum kernel fusion for protein subnuclear localization
inferred← citeshttps://doi.org/10.1186/1471-2105-12-44openalex-snapshot
Gene ontology based transfer learning for protein subcellular localization
inferred← citeshttps://doi.org/10.1186/1471-2105-13-290openalex-snapshot
mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines
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