Prediction of DNA-binding residues from protein sequence information using random forests
about
Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and DynamicsA survey of computational intelligence techniques in protein function predictionMisregulation of Scm3p/HJURP causes chromosome instability in Saccharomyces cerevisiae and human cells.Predicting secretory proteins of malaria parasite by incorporating sequence evolution information into pseudo amino acid composition via grey system modelIdentification of DNA-binding proteins using support vector machine with sequence informationRecognition of 27-class protein folds by adding the interaction of segments and motif information.Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy termsThe recognition of multi-class protein folds by adding average chemical shifts of secondary structure elementsDNABINDPROT: fluctuation-based predictor of DNA-binding residues within a network of interacting residues.Predicting residue-residue contacts using random forest models.Exploiting a reduced set of weighted average features to improve prediction of DNA-binding residues from 3D structures.DR_bind: a web server for predicting DNA-binding residues from the protein structure based on electrostatics, evolution and geometry.High-throughput next-generation sequencing technologies foster new cutting-edge computing techniques in bioinformaticsMetaDBSite: a meta approach to improve protein DNA-binding sites prediction.PROTS-RF: a robust model for predicting mutation-induced protein stability changes.Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information.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 sitesA graph kernel method for DNA-binding site prediction.SNBRFinder: A Sequence-Based Hybrid Algorithm for Enhanced Prediction of Nucleic Acid-Binding Residues.Sequence-Based Prediction of RNA-Binding Proteins Using Random Forest with Minimum Redundancy Maximum Relevance Feature SelectionDNABP: Identification of DNA-Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding Residues.Discrimination of soluble and aggregation-prone proteins based on sequence information.PDNAsite: Identification of DNA-binding Site from Protein Sequence by Incorporating Spatial and Sequence Context.Novel approach for selecting the best predictor for identifying the binding sites in DNA binding proteins.DBSI: DNA-binding site identifier.A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues.EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation.Structural models of protein-DNA complexes based on interface prediction and docking.PreDNA: accurate prediction of DNA-binding sites in proteins by integrating sequence and geometric structure information.DNA integrity of human leukocytes after magnetic resonance imaging.Root regulation of artemisinin production in Artemisia annua: trichome and metabolite evidence.Identification of DNA-protein Binding Sites through Multi-Scale Local Average Blocks on Sequence Information.DnrI of Streptomyces peucetius binds to the resistance genes, drrAB and drrC but is activated by daunorubicin.Predicting DNA-binding sites of proteins based on sequential and 3D structural information.Static magnetic fields enhance dental pulp stem cell proliferation by activating the p38 mitogen-activated protein kinase pathway as its putative mechanism.TOWARDS CLASSIFYING ORGANISMS BASED ON THEIR PROTEIN PHYSICOCHEMICAL PROPERTIES USING COMPARATIVE INTELLIGENT TECHNIQUES
P2860
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P2860
Prediction of DNA-binding residues from protein sequence information using random forests
description
2009 nî lūn-bûn
@nan
2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
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
name
Prediction of DNA-binding residues from protein sequence information using random forests
@ast
Prediction of DNA-binding residues from protein sequence information using random forests
@en
type
label
Prediction of DNA-binding residues from protein sequence information using random forests
@ast
Prediction of DNA-binding residues from protein sequence information using random forests
@en
prefLabel
Prediction of DNA-binding residues from protein sequence information using random forests
@ast
Prediction of DNA-binding residues from protein sequence information using random forests
@en
P2093
P2860
P1433
P1476
Prediction of DNA-binding residues from protein sequence information using random forests
@en
P2093
Jack Y Yang
Liangjiang Wang
Mary Qu Yang
P2860
P2888
P356
10.1186/1471-2164-10-S1-S1
P407
P478
10 Suppl 1
P577
2009-07-07T00:00:00Z
P5875
P6179
1051051722