Prediction of membrane protein types based on the hydrophobic index of amino acids.
about
Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multiple support vector machines.PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions.Bagging with CTD--a novel signature for the hierarchical prediction of secreted protein trafficking in eukaryotes.Efficacy of different protein descriptors in predicting protein functional families.Large-scale prediction of long disordered regions in proteins using random forestsA novel feature extraction scheme with ensemble coding for protein-protein interaction predictionDeuterium/hydrogen exchange factors measured by solution nuclear magnetic resonance spectroscopy as indicators of the structure and topology of membrane proteinsPROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence.Predicting protein-protein interactions via multivariate mutual information of protein sequences.Computational prediction of human proteins that can be secreted into the bloodstream.Prediction of functional class of proteins and peptides irrespective of sequence homology by support vector machines.PseAAC-General: fast building various modes of general form of Chou's pseudo-amino acid composition for large-scale protein datasets.SPAR: a random forest-based predictor for self-interacting proteins with fine-grained domain information.Predicting the Functional Types of Singleplex and Multiplex Eukaryotic Membrane Proteins via Different Models of Chou's Pseudo Amino Acid Compositions.Predicting disordered regions in proteins using the profiles of amino acid indices.Improved detection of DNA-binding proteins via compression technology on PSSM information.BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches.Predicting membrane protein types using residue-pair models based on reduced similarity dataset.Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition.Identification of drug-target interaction by a random walk with restart method on an interactome network.
P2860
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P2860
Prediction of membrane protein types based on the hydrophobic index of amino acids.
description
2000 nî lūn-bûn
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2000年の論文
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2000年学术文章
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2000年学术文章
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2000年学术文章
@zh-cn
2000年学术文章
@zh-hans
2000年学术文章
@zh-my
2000年学术文章
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2000年學術文章
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2000年學術文章
@zh-hant
name
Prediction of membrane protein types based on the hydrophobic index of amino acids.
@en
Prediction of membrane protein types based on the hydrophobic index of amino acids.
@nl
type
label
Prediction of membrane protein types based on the hydrophobic index of amino acids.
@en
Prediction of membrane protein types based on the hydrophobic index of amino acids.
@nl
prefLabel
Prediction of membrane protein types based on the hydrophobic index of amino acids.
@en
Prediction of membrane protein types based on the hydrophobic index of amino acids.
@nl
P356
P1433
P1476
Prediction of membrane protein types based on the hydrophobic index of amino acids.
@en
P2093
P2888
P304
P356
10.1023/A:1007091128394
P577
2000-05-01T00:00:00Z
P6179
1035291328