Identification of DNA-binding proteins using structural, electrostatic and evolutionary features.
about
ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acidsIdentification of DNA-binding proteins using support vector machine with sequence informationDNABINDPROT: fluctuation-based predictor of DNA-binding residues within a network of interacting residues.Predicting nucleic acid binding interfaces from structural models of proteinsExploiting a reduced set of weighted average features to improve prediction of DNA-binding residues from 3D structures.enDNA-Prot: identification of DNA-binding proteins by applying ensemble learning.Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences.Boosting the prediction and understanding of DNA-binding domains from sequenceiDNA-Prot: identification of DNA binding proteins using random forest with grey model.Comparative analyses between retained introns and constitutively spliced introns in Arabidopsis thaliana using random forest and support vector machine.Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template searchData mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?Predicting DNA-binding proteins and binding residues by complex structure prediction and application to human proteome.An overview of the prediction of protein DNA-binding sitesIdentification of DNA-binding proteins using multi-features fusion and binary firefly optimization algorithm.DNABP: Identification of DNA-Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding Residues.An ensemble micro neural network approach for elucidating interactions between zinc finger proteins and their target DNADBSI: DNA-binding site identifier.From face to interface recognition: a differential geometric approach to distinguish DNA from RNA binding surfaces.iDBPs: a web server for the identification of DNA binding proteinsAn evolution-based DNA-binding residue predictor using a dynamic query-driven learning scheme.Surface shapes and surrounding environment analysis of single- and double-stranded DNA-binding proteins in protein-DNA interface.BindUP: a web server for non-homology-based prediction of DNA and RNA binding proteins.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.Features of CPB: a Poisson-Boltzmann solver that uses an adaptive Cartesian gridClassification and interaction in random forests.
P2860
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P2860
Identification of DNA-binding proteins using structural, electrostatic and evolutionary features.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
Identification of DNA-binding ...... tic and evolutionary features.
@en
type
label
Identification of DNA-binding ...... tic and evolutionary features.
@en
prefLabel
Identification of DNA-binding ...... tic and evolutionary features.
@en
P2860
P1476
Identification of DNA-binding ...... tic and evolutionary features.
@en
P2093
András Szilágyi
Guy Nimrod
P2860
P304
P356
10.1016/J.JMB.2009.02.023
P407
P577
2009-02-20T00:00:00Z