Literature DB >> 25616595

A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis.

You Zhou1, Ning Zhang2, Bi-Qing Li3, Tao Huang1,4, Yu-Dong Cai5, Xiang-Yin Kong1.   

Abstract

Lysine acetylation and ubiquitination are two primary post-translational modifications (PTMs) in most eukaryotic proteins. Lysine residues are targets for both types of PTMs, resulting in different cellular roles. With the increasing availability of protein sequences and PTM data, it is challenging to distinguish the two types of PTMs on lysine residues. Experimental approaches are often laborious and time consuming. There is an urgent need for computational tools to distinguish between lysine acetylation and ubiquitination. In this study, we developed a novel method, called DAUFSA (distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis), to discriminate ubiquitinated and acetylated lysine residues. The method incorporated several types of features: PSSM (position-specific scoring matrix) conservation scores, amino acid factors, secondary structures, solvent accessibilities, and disorder scores. By using the mRMR (maximum relevance minimum redundancy) method and the IFS (incremental feature selection) method, an optimal feature set containing 290 features was selected from all incorporated features. A dagging-based classifier constructed by the optimal features achieved a classification accuracy of 69.53%, with an MCC of .3853. An optimal feature set analysis showed that the PSSM conservation score features and the amino acid factor features were the most important attributes, suggesting differences between acetylation and ubiquitination. Our study results also supported previous findings that different motifs were employed by acetylation and ubiquitination. The feature differences between the two modifications revealed in this study are worthy of experimental validation and further investigation.

Entities:  

Keywords:  acetylation; dagging; incremental feature selection; post-translational modification; ubiquitination

Mesh:

Substances:

Year:  2015        PMID: 25616595     DOI: 10.1080/07391102.2014.1001793

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  14 in total

1.  The early detection of asthma based on blood gene expression.

Authors:  Shao-Bin Wang; Tao Huang
Journal:  Mol Biol Rep       Date:  2018-11-12       Impact factor: 2.316

2.  Identification of compound-protein interactions through the analysis of gene ontology, KEGG enrichment for proteins and molecular fragments of compounds.

Authors:  Lei Chen; Yu-Hang Zhang; Mingyue Zheng; Tao Huang; Yu-Dong Cai
Journal:  Mol Genet Genomics       Date:  2016-08-16       Impact factor: 3.291

3.  Genetic differences among ethnic groups.

Authors:  Tao Huang; Yang Shu; Yu-Dong Cai
Journal:  BMC Genomics       Date:  2015-12-21       Impact factor: 3.969

4.  Analysis and Identification of Aptamer-Compound Interactions with a Maximum Relevance Minimum Redundancy and Nearest Neighbor Algorithm.

Authors:  ShaoPeng Wang; Yu-Hang Zhang; Jing Lu; Weiren Cui; Jerry Hu; Yu-Dong Cai
Journal:  Biomed Res Int       Date:  2016-02-03       Impact factor: 3.411

5.  Identification of tumor-educated platelet biomarkers of non-small-cell lung cancer.

Authors:  Meiling Sheng; Zhaohui Dong; Yanping Xie
Journal:  Onco Targets Ther       Date:  2018-11-14       Impact factor: 4.147

6.  Identification of the predictive genes for the response of colorectal cancer patients to FOLFOX therapy.

Authors:  Hengjun Lin; Xueke Qiu; Bo Zhang; Jichao Zhang
Journal:  Onco Targets Ther       Date:  2018-09-17       Impact factor: 4.147

7.  Identification and Analysis of Blood Gene Expression Signature for Osteoarthritis With Advanced Feature Selection Methods.

Authors:  Jing Li; Chun-Na Lan; Ying Kong; Song-Shan Feng; Tao Huang
Journal:  Front Genet       Date:  2018-08-30       Impact factor: 4.599

8.  Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia.

Authors:  Lei Cai; Tao Huang; Jingjing Su; Xinxin Zhang; Wenzhong Chen; Fuquan Zhang; Lin He; Kuo-Chen Chou
Journal:  Mol Ther Nucleic Acids       Date:  2018-07-11       Impact factor: 8.886

9.  Analysis of Protein-Protein Functional Associations by Using Gene Ontology and KEGG Pathway.

Authors:  Fei Yuan; Xiaoyong Pan; Lei Chen; Yu-Hang Zhang; Tao Huang; Yu-Dong Cai
Journal:  Biomed Res Int       Date:  2019-07-18       Impact factor: 3.411

10.  Cross talk of chromosome instability, CpG island methylator phenotype and mismatch repair in colorectal cancer.

Authors:  Tian-Ming Zhang; Tao Huang; Rong-Fei Wang
Journal:  Oncol Lett       Date:  2018-05-31       Impact factor: 2.967

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.