PLMLA: prediction of lysine methylation and lysine acetylation by combining multiple features.
about
Uncovering the protein lysine and arginine methylation network in Arabidopsis chloroplastsEvidence supporting the existence of a NUPR1-like family of helix-loop-helix chromatin proteins related to, yet distinct from, AT hook-containing HMG proteinsAccurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features.LAceP: lysine acetylation site prediction using logistic regression classifiers.Discriminating between lysine sumoylation and lysine acetylation using mRMR feature selection and analysis.Computational Identification of Protein Pupylation Sites by Using Profile-Based Composition of k-Spaced Amino Acid Pairs.Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.GPS-PAIL: prediction of lysine acetyltransferase-specific modification sites from protein sequences.Position-specific prediction of methylation sites from sequence conservation based on information theory.Progress and challenges in predicting protein methylation sites.Computational prediction of methylation types of covalently modified lysine and arginine residues in proteins.Accurate in silico prediction of species-specific methylation sites based on information gain feature optimization.Improved feature-based prediction of SNPs in human cytochrome P450 enzymes.Abnormal SDS-PAGE migration of cytosolic proteins can identify domains and mechanisms that control surfactant binding.Systematic analysis of human lysine acetylation proteins and accurate prediction of human lysine acetylation through bi-relative adapted binomial score Bayes feature representation.Strategies for large-scale analysis of non-histone protein methylation by LC-MS/MS.PGluS: prediction of protein S-glutathionylation sites with multiple features and analysis.Prediction of Protein Acetylation Sites using Kernel Naive Bayes Classifier Based on Protein Sequences ProfilingUsing a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides
P2860
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P2860
PLMLA: prediction of lysine methylation and lysine acetylation by combining multiple features.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մարտին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
PLMLA: prediction of lysine me ...... y combining multiple features.
@ast
PLMLA: prediction of lysine me ...... y combining multiple features.
@en
PLMLA: prediction of lysine me ...... y combining multiple features.
@nl
type
label
PLMLA: prediction of lysine me ...... y combining multiple features.
@ast
PLMLA: prediction of lysine me ...... y combining multiple features.
@en
PLMLA: prediction of lysine me ...... y combining multiple features.
@nl
prefLabel
PLMLA: prediction of lysine me ...... y combining multiple features.
@ast
PLMLA: prediction of lysine me ...... y combining multiple features.
@en
PLMLA: prediction of lysine me ...... y combining multiple features.
@nl
P2093
P2860
P356
P1433
P1476
PLMLA: prediction of lysine me ...... y combining multiple features.
@en
P2093
Jian-Ding Qiu
Ru-Ping Liang
Shao-Ping Shi
Sheng-Bao Suo
Shu-Yun Huang
Xing-Yu Sun
P2860
P304
P356
10.1039/C2MB05502C
P577
2012-03-08T00:00:00Z