Kernel-based machine learning protocol for predicting DNA-binding proteins
about
Identification of DNA-binding proteins using support vector machines and evolutionary profilesA survey of computational intelligence techniques in protein function predictionIdentification of DNA-binding proteins using support vector machine with sequence informationClassifying RNA-binding proteins based on electrostatic propertiesDNA-Prot: identification of DNA binding proteins from protein sequence information using random forest.Prediction of mono- and di-nucleotide-specific DNA-binding sites in proteins using neural networksA threading-based method for the prediction of DNA-binding proteins with application to the human genome.DNABINDPROT: fluctuation-based predictor of DNA-binding residues within a network of interacting residues.Mammalian microRNA prediction through a support vector machine model of sequence and structure.Evolutionary conservation of DNA-contact residues in DNA-binding domains.Enzyme classification with peptide programs: a comparative study.enDNA-Prot: identification of DNA-binding proteins by applying ensemble learning.An improved machine learning protocol for the identification of correct Sequest search resultsMISS-Prot: web server for self/non-self discrimination of protein residue networks in parasites; theory and experiments in Fasciola peptides and Anisakis allergens.Boosting the prediction and understanding of DNA-binding domains from sequenceStructure-based prediction of DNA-binding proteins by structural alignment and a volume-fraction corrected DFIRE-based energy functioniDNA-Prot: identification of DNA binding proteins using random forest with grey model.Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template searchAn improved sequence based prediction protocol for DNA-binding proteins using SVM and comprehensive feature analysis.Characterization of the relationship between integrase, excisionase and antirepressor activities associated with a superinfecting Shiga toxin encoding bacteriophage.Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformationPredicting DNA-binding proteins and binding residues by complex structure prediction and application to human proteome.An overview of the prediction of protein DNA-binding sitesA Large-Scale Assessment of Nucleic Acids Binding Site Prediction Programs.Genome-wide functional annotation of dual-specificity protein- and lipid-binding modules that regulate protein interactions.An ensemble micro neural network approach for elucidating interactions between zinc finger proteins and their target DNAPrediction of functional class of proteins and peptides irrespective of sequence homology by support vector machines.From local structure to a global framework: recognition of protein folds.Potential DNA binding and nuclease functions of ComEC domains characterized in silico.iDBPs: a web server for the identification of DNA binding proteinsDBD-Hunter: a knowledge-based method for the prediction of DNA-protein interactions.Residue-level prediction of DNA-binding sites and its application on DNA-binding protein predictions.PSFM-DBT: Identifying DNA-Binding Proteins by Combing Position Specific Frequency Matrix and Distance-Bigram Transformation.Prediction of DNA-binding proteins from relational features.Sequence based prediction of DNA-binding proteins based on hybrid feature selection using random forest and Gaussian naïve Bayes.Patch Finder Plus (PFplus): a web server for extracting and displaying positive electrostatic patches on protein surfaces.Identification of DNA-binding proteins using structural, electrostatic and evolutionary features.NAPS: a residue-level nucleic acid-binding prediction serverStructural bioinformatics prediction of membrane-binding proteins.Improved detection of DNA-binding proteins via compression technology on PSSM information.
P2860
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P2860
Kernel-based machine learning protocol for predicting DNA-binding proteins
description
2005 nî lūn-bûn
@nan
2005 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Kernel-based machine learning protocol for predicting DNA-binding proteins
@ast
Kernel-based machine learning protocol for predicting DNA-binding proteins
@en
Kernel-based machine learning protocol for predicting DNA-binding proteins
@nl
type
label
Kernel-based machine learning protocol for predicting DNA-binding proteins
@ast
Kernel-based machine learning protocol for predicting DNA-binding proteins
@en
Kernel-based machine learning protocol for predicting DNA-binding proteins
@nl
prefLabel
Kernel-based machine learning protocol for predicting DNA-binding proteins
@ast
Kernel-based machine learning protocol for predicting DNA-binding proteins
@en
Kernel-based machine learning protocol for predicting DNA-binding proteins
@nl
P2093
P2860
P3181
P356
P1476
Kernel-based machine learning protocol for predicting DNA-binding proteins
@en
P2093
Guijun Zhao
Nitin Bhardwaj
Robert E Langlois
P2860
P304
P3181
P356
10.1093/NAR/GKI949
P407
P50
P577
2005-11-10T00:00:00Z