Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition.
about
GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptorsProtein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multiple support vector machines.Domain organization of long signal peptides of single-pass integral membrane proteins reveals multiple functional capacity.An improved sequence based prediction protocol for DNA-binding proteins using SVM and comprehensive feature analysis.DBSubLoc: database of protein subcellular localizationMethodology development for predicting subcellular localization and other attributes of proteins.Molecular biocoding of insulin.Gpos-PLoc: an ensemble classifier for predicting subcellular localization of Gram-positive bacterial proteins.Protein subcellular localization based on PSI-BLAST and machine learning.A novel method for apoptosis protein subcellular localization prediction combining encoding based on grouped weight and support vector machine.Using increment of diversity to predict mitochondrial proteins of malaria parasite: integrating pseudo-amino acid composition and structural alphabet.iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple sites.Predicting subcellular location of apoptosis proteins with pseudo amino acid composition: approach from amino acid substitution matrix and auto covariance transformation.Predicting membrane protein types using residue-pair models based on reduced similarity dataset.
P2860
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P2860
Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh-hant
name
Prediction of the subcellular ...... of the amino acid composition.
@en
Prediction of the subcellular ...... of the amino acid composition.
@nl
type
label
Prediction of the subcellular ...... of the amino acid composition.
@en
Prediction of the subcellular ...... of the amino acid composition.
@nl
prefLabel
Prediction of the subcellular ...... of the amino acid composition.
@en
Prediction of the subcellular ...... of the amino acid composition.
@nl
P2860
P1433
P1476
Prediction of the subcellular ...... of the amino acid composition.
@en
P2093
P2860
P304
P356
10.1002/1097-0282(20010415)58:5<491::AID-BIP1024>3.0.CO;2-I
P577
2001-04-01T00:00:00Z