iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition
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Identify Beta-Hairpin Motifs with Quadratic Discriminant Algorithm Based on the Chemical ShiftsPrediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.iDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid compositioniPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.iPTM-mLys: identifying multiple lysine PTM sites and their different types.3D QSAR studies, pharmacophore modeling and virtual screening on a series of steroidal aromatase inhibitors.A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition.PredHSP: Sequence Based Proteome-Wide Heat Shock Protein Prediction and Classification Tool to Unlock the Stress Biology.Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.iACP: a sequence-based tool for identifying anticancer peptides.iROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition.iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC.iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC.iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier.Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in HumanCharacterization of proteins in S. cerevisiae with subcellular localizations.pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC.Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.Cell-Peptide Specific Interaction Can Inhibit Mycobacterium tuberculosis H37Rv Infection.pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC.Synergy evaluation by a pathway-pathway interaction network: a new way to predict drug combination.iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition.Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition.iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide compositionSmall molecular floribundiquinone B derived from medicinal plants inhibits acetylcholinesterase activity.iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach.Prediction of post-translational modification sites using multiple kernel support vector machine.iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.A novel feature ranking method for prediction of cancer stages using proteomics data.Prediction of Nucleotide Binding Peptides Using Star Graph Topological Indices.TargetFreeze: Identifying Antifreeze Proteins via a Combination of Weights using Sequence Evolutionary Information and Pseudo Amino Acid Composition.Consensus models for CDK5 inhibitors in silico and their application to inhibitor discovery.V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature.Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach.UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences.iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC.OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features.Classifying Multifunctional Enzymes by Incorporating Three Different Models into Chou's General Pseudo Amino Acid Composition.
P2860
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P2860
iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition
description
2014 nî lūn-bûn
@nan
2014 թուականին հրատարակուած գիտական յօդուած
@hyw
2014 թվականին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
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name
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@ast
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@en
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@nl
type
label
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@ast
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@en
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@nl
prefLabel
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@ast
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@en
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@nl
P2093
P2860
P3181
P1433
P1476
iNitro-Tyr: prediction of nitr ...... pseudo amino acid composition
@en
P2093
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0105018
P407
P577
2014-01-01T00:00:00Z