EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.
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The genome and transcriptome of Haemonchus contortus, a key model parasite for drug and vaccine discoveryComparative genomic analysis of human fungal pathogens causing paracoccidioidomycosisComparative and functional genomics of Rhodococcus opacus PD630 for biofuels developmentGenomics of Loa loa, a Wolbachia-free filarial parasite of humansA large-scale evaluation of computational protein function predictionImplications of the small number of distinct ligand binding pockets in proteins for drug discovery, evolution and biochemical functionThe use of evolutionary patterns in protein annotationAccurate protein structure annotation through competitive diffusion of enzymatic functions over a network of local evolutionary similaritiesReconstruction and validation of a genome-scale metabolic model for the filamentous fungus Neurospora crassa using FARMIsofunctional Protein Subfamily Detection Using Data Integration and Spectral ClusteringResistance gene identification from Larimichthys crocea with machine learning techniques.PSiFR: an integrated resource for prediction of protein structure and function.Identification of Multi-Functional Enzyme with Multi-Label ClassifierCatalytic site identification--a web server to identify catalytic site structural matches throughout PDB.Crowding and hydrodynamic interactions likely dominate in vivo macromolecular motionCombining structure and sequence information allows automated prediction of substrate specificities within enzyme familiesComparative genomics of cell envelope components in mycobacteria.EnzymeDetector: an integrated enzyme function prediction tool and database.Evolution: a guide to perturb protein function and networksEnzML: multi-label prediction of enzyme classes using InterPro signatures.Integrated omics study delineates the dynamics of lipid droplets in Rhodococcus opacus PD630.MESSA: MEta-Server for protein Sequence Analysis.Rapid catalytic template searching as an enzyme function prediction procedure.Computational Approaches for Automated Classification of Enzyme SequencesDomSign: a top-down annotation pipeline to enlarge enzyme space in the protein universe.Application of a hierarchical enzyme classification method reveals the role of gut microbiome in human metabolism.EFICAz2.5: application of a high-precision enzyme function predictor to 396 proteomes.Predictions of enzymatic parameters: a mini-review with focus on enzymes for biofuel.Genome-scale metabolic reconstruction and hypothesis testing in the methanogenic archaeon Methanosarcina acetivorans C2A.Reference genomes and transcriptomes of Nicotiana sylvestris and Nicotiana tomentosiformis.Prediction of detailed enzyme functions and identification of specificity determining residues by random forests.ModEnzA: Accurate Identification of Metabolic Enzymes Using Function Specific Profile HMMs with Optimised Discrimination Threshold and Modified Emission Probabilities.Horizontal gene transfer and genome evolution in Methanosarcina.Comparison of structure-based and threading-based approaches to protein functional annotation.DEEPre: sequence-based enzyme EC number prediction by deep learning.
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EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 13 April 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.
@en
EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.
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type
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EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.
@en
EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.
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EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.
@en
EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.
@nl
P2860
P356
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P1476
EFICAz2: enzyme function inference by a combined approach enhanced by machine learning.
@en
P2093
Adrian K Arakaki
Ying Huang
P2860
P2888
P356
10.1186/1471-2105-10-107
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2009-04-13T00:00:00Z
P5875
P6179
1039270630