Accuratein silicoprediction of species-specific methylation sites based on information gain feature optimization

Computational prediction of methylation types of covalently modified lysine and arginine residues in proteins

(2016) Wankun Deng et al.   BRIEFINGS IN BIOINFORMATICS

Progress and challenges in predicting protein methylation sites

(2015) Shao-Ping Shi et al.   Molecular BioSystems

Identification and characterization of lysine-methylated sites on histones and non-histone proteins

(2014) Tzong-Yi Lee et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

SysPTM 2.0: an updated systematic resource for post-translational modification

(2014) J. Li et al.   Database-The Journal of Biological Databases and Curation

iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach

(2014) Wang-Ren Qiu et al.   Biomed Research International

Functional interplay between protein arginine methyltransferases inTrypanosoma brucei

(2014) Kaylen Lott et al.   MicrobiologyOpen

Incorporating key position and amino acid residue features to identify general and species-specific Ubiquitin conjugation sites

(2013) Xiang Chen et al.   BIOINFORMATICS

CPLM: a database of protein lysine modifications

(2013) Zexian Liu et al.   NUCLEIC ACIDS RESEARCH

Prediction of Methylation Sites Using the Composition of K-Spaced Amino Acid Pairs

(2013) Wenyi Zhang et al.   PROTEIN AND PEPTIDE LETTERS

PLMLA: prediction of lysine methylation and lysine acetylation by combining multiple features

(2012) Shao-Ping Shi et al.   Molecular BioSystems

PMeS: Prediction of Methylation Sites Based on Enhanced Feature Encoding Scheme

(2012) Shao-Ping Shi et al.   PLoS One

Position-Specific Analysis and Prediction for Protein Lysine Acetylation Based on Multiple Features

(2012) Sheng-Bao Suo et al.   PLoS One

Prediction of Protein Methylation Sites Using Conditional Random Field

(2012) Yan Xu et al.   PROTEIN AND PEPTIDE LETTERS

Musite, a Tool for Global Prediction of General and Kinase-specific Phosphorylation Sites

(2010) Jianjiong Gao et al.   MOLECULAR & CELLULAR PROTEOMICS

Targeted Metabolomic Evaluation of Arginine Methylation and Cardiovascular Risks

(2009) Zeneng Wang et al.   ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY

Incorporating structural characteristics for identification of protein methylation sites

(2009) Dray-Ming Shien et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Computational Identification of Protein Methylation Sites through Bi-Profile Bayes Feature Extraction

(2009) Jianlin Shao et al.   PLoS One

The emerging field of dynamic lysine methylation of non-histone proteins

(2008) Jing Huang et al.   CURRENT OPINION IN GENETICS & DEVELOPMENT

Systematic evaluation of variability in ChIP-chip experiments using predefined DNA targets

(2008) D. S. Johnson et al.   GENOME RESEARCH