iMethyl-PseAAC: identification of protein methylation sites via a pseudo amino acid composition approach
about
iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid compositioniDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition3D 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.Exploring Mouse Protein Function via Multiple Approaches.Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.Predicting DNA Methylation State of CpG Dinucleotide Using Genome Topological Features and Deep Networks.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 HumanPosition-specific prediction of methylation sites from sequence conservation based on information theory.PRmePRed: A protein arginine methylation prediction tool.Accurate in silico prediction of species-specific methylation sites based on information gain feature optimization.Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition.iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou's PseAAC to formulate DNA samples.iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide compositioniRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences.Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams.iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets.: a potential role for enzyme methylation during metabolic rate depression.Detecting Succinylation sites from protein sequences using ensemble support vector machine.
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P2860
iMethyl-PseAAC: identification of protein methylation sites via a pseudo amino acid composition approach
description
2014 nî lūn-bûn
@nan
2014 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մայիսին 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
@wuu
name
iMethyl-PseAAC: identification ...... mino acid composition approach
@ast
iMethyl-PseAAC: identification ...... mino acid composition approach
@en
type
label
iMethyl-PseAAC: identification ...... mino acid composition approach
@ast
iMethyl-PseAAC: identification ...... mino acid composition approach
@en
prefLabel
iMethyl-PseAAC: identification ...... mino acid composition approach
@ast
iMethyl-PseAAC: identification ...... mino acid composition approach
@en
P2860
P356
P1476
iMethyl-PseAAC: identification ...... mino acid composition approach
@en
P2093
Wang-Ren Qiu
Wei-Zhong Lin
P2860
P304
P356
10.1155/2014/947416
P407
P577
2014-05-22T00:00:00Z