BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features
about
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PRIDB: a Protein-RNA interface databaseAdvances in the characterization of RNA-binding proteinsComputational Prediction of RNA-Binding Proteins and Binding SitesA survey of computational intelligence techniques in protein function predictionPredicting protein sumoylation sites from sequence featuresRNABindRPlus: a predictor that combines machine learning and sequence homology-based methods to improve the reliability of predicted RNA-binding residues in proteinsIdentification of DNA-binding proteins using support vector machine with sequence informationImpact of acute stress on antimicrobial polypeptides mRNA copy number in several tissues of marine sea bass (Dicentrarchus labrax)APRICOT: an integrated computational pipeline for the sequence-based identification and characterization of RNA-binding proteinsProtein-RNA interface residue prediction using machine learning: an assessment of the state of the artFastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface ResiduesDissection and prediction of RNA-binding sites on proteins.Determining the role of missense mutations in the POU domain of HNF1A that reduce the DNA-binding affinity: A computational approach.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.Re-analysis of cryoEM data on HCV IRES bound to 40S subunit of human ribosome integrated with recent structural information suggests new contact regions between ribosomal proteins and HCV RNADNA-protein interactions: methods for detection and analysis.RPI-Bind: a structure-based method for accurate identification of RNA-protein binding sites.2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research.Calpain 5 is highly expressed in the central nervous system (CNS), carries dual nuclear localization signals, and is associated with nuclear promyelocytic leukemia protein bodiesRAID: a comprehensive resource for human RNA-associated (RNA-RNA/RNA-protein) interactionIncorporating evolutionary information and functional domains for identifying RNA splicing factors in humans.A long non-coding RNA is required for targeting centromeric protein A to the human centromere.Molecular evolution of dihydrouridine synthases.Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information.Prediction of RNA binding residues: an extensive analysis based on structure and function to select the best predictor.Structure based approach for understanding organism specific recognition of protein-RNA complexesPredicting DNA-binding proteins and binding residues by complex structure prediction and application to human proteome.ViRBase: a resource for virus-host ncRNA-associated interactions.Databases and bioinformatics tools for the study of DNA repair.ProFET: Feature engineering captures high-level protein functions.SNBRFinder: A Sequence-Based Hybrid Algorithm for Enhanced Prediction of Nucleic Acid-Binding Residues.RNA-binding residues prediction using structural features.ncRDeathDB: A comprehensive bioinformatics resource for deciphering network organization of the ncRNA-mediated cell death system.A Large-Scale Assessment of Nucleic Acids Binding Site Prediction Programs.Accurate prediction of RNA-binding protein residues with two discriminative structural descriptorsHigh-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorderSequence-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.Predicting protein-binding regions in RNA using nucleotide profiles and compositions.
P2860
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P2860
BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features
description
2010 nî lūn-bûn
@nan
2010 թուականին հրատարակուած գիտական յօդուած
@hyw
2010 թվականին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
BindN+ for accurate prediction ...... from protein sequence features
@ast
BindN+ for accurate prediction ...... from protein sequence features
@en
BindN+ for accurate prediction ...... from protein sequence features
@nl
type
label
BindN+ for accurate prediction ...... from protein sequence features
@ast
BindN+ for accurate prediction ...... from protein sequence features
@en
BindN+ for accurate prediction ...... from protein sequence features
@nl
prefLabel
BindN+ for accurate prediction ...... from protein sequence features
@ast
BindN+ for accurate prediction ...... from protein sequence features
@en
BindN+ for accurate prediction ...... from protein sequence features
@nl
P2093
P2860
P3181
P1433
P1476
BindN+ for accurate prediction ...... from protein sequence features
@en
P2093
Caiyan Huang
Jack Y Yang
Liangjiang Wang
Mary Qu Yang
P2860
P2888
P3181
P356
10.1186/1752-0509-4-S1-S3
P407
P433
P577
2010-01-01T00:00:00Z
P5875
P6179
1018017565