Functional discrimination of membrane proteins using machine learning techniques
about
Bioinformatics approaches for functional annotation of membrane proteinsUnderstanding the undelaying mechanism of HA-subtyping in the level of physic-chemical characteristics of proteinPrediction of membrane transport proteins and their substrate specificities using primary sequence informationAmino Acid Features of P1B-ATPase Heavy Metal Transporters Enabling Small Numbers of Organisms to Cope with Heavy Metal PollutionPredicting the outer membrane proteome of Pasteurella multocida based on consensus prediction enhanced by results integration and manual confirmationRelationship between amino acid properties and functional parameters in olfactory receptors and discrimination of mutants with enhanced specificity.TransportTP: a two-phase classification approach for membrane transporter prediction and characterizationPrediction of thermostability from amino acid attributes by combination of clustering with attribute weighting: a new vista in engineering enzymes.Are there any differences between features of proteins expressed in malignant and benign breast cancers?Transferring functional annotations of membrane transporters on the basis of sequence similarity and sequence motifs.Determining the most important physiological and agronomic traits contributing to maize grain yield through machine learning algorithms: a new avenue in intelligent agriculture.SCMMTP: identifying and characterizing membrane transport proteins using propensity scores of dipeptides.The use of classification trees for bioinformatics.TMFunction: database for functional residues in membrane proteins.Deorphanizing the human transmembrane genome: A landscape of uncharacterized membrane proteinsAmino acid composition analysis of secondary transport proteins from Escherichia coli with relation to functional classification, ligand specificity and structure.Protein hypersaline adaptation: insight from amino acids with machine learning algorithms.Identification of efflux proteins using efficient radial basis function networks with position-specific scoring matrices and biochemical properties.A computational approach for the identification of small GTPases based on preprocessed amino acid sequences.Discrimination of membrane transporter protein types using K-nearest neighbor method derived from the similarity distance of total diversity measure.Amino acid composition analysis of human secondary transport proteins and implications for reliable membrane topology prediction.Harnessing the evolutionary information on oxygen binding proteins through Support Vector Machines based modules.Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical propertiesUsing Efficient RBF Networks to Classify Transport Proteins Based on PSSM Profiles and Biochemical PropertiesFunctional classification of membrane transporters and channels based on filtered TM/non-TM amino acid composition
P2860
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P2860
Functional discrimination of membrane proteins using machine learning techniques
description
2008 nî lūn-bûn
@nan
2008 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մարտին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Functional discrimination of membrane proteins using machine learning techniques
@ast
Functional discrimination of membrane proteins using machine learning techniques
@en
Functional discrimination of membrane proteins using machine learning techniques.
@nl
type
label
Functional discrimination of membrane proteins using machine learning techniques
@ast
Functional discrimination of membrane proteins using machine learning techniques
@en
Functional discrimination of membrane proteins using machine learning techniques.
@nl
prefLabel
Functional discrimination of membrane proteins using machine learning techniques
@ast
Functional discrimination of membrane proteins using machine learning techniques
@en
Functional discrimination of membrane proteins using machine learning techniques.
@nl
P2860
P356
P1433
P1476
Functional discrimination of membrane proteins using machine learning techniques
@en
P2093
Yukimitsu Yabuki
P2860
P2888
P356
10.1186/1471-2105-9-135
P577
2008-03-03T00:00:00Z
P5875
P6179
1014973809