Literature DB >> 22936054

Systematic analysis of human lysine acetylation proteins and accurate prediction of human lysine acetylation through bi-relative adapted binomial score Bayes feature representation.

Jianlin Shao1, Dong Xu, Landian Hu, Yiu-Wa Kwan, Yifei Wang, Xiangyin Kong, Sai-Ming Ngai.   

Abstract

Lysine acetylation is a reversible post-translational modification (PTM) which has been linked to many biological and pathological implications. Hence, localization of lysine acetylation is essential for deciphering the mechanism of such implications. Whereas many acetylated lysines in human proteins have been localized through experimental approaches in wet lab, it still fails to reach completion. In the present study, we proposed a novel feature extraction approach, bi-relative adapted binomial score Bayes (BRABSB), combined with support vector machines (SVMs) to construct a human-specific lysine acetylation predictor, which yields, on average, a sensitivity of 83.91%, a specificity of 87.25% and an accuracy of 85.58%, in the case of 5-fold cross validation experiments. Results obtained through the validation on independent data sets show that the proposed approach here outperforms other existing lysine acetylation predictors. Furthermore, due to the fact that global analysis of human lysine acetylproteins, which would ultimately facilitate the systematic investigation of the biological and pathological consequences associated with lysine acetylation events, remains to be resolved, we made an attempt to systematically analyze human lysine acetylproteins, demonstrating their diversity with respect to subcellular localization as well as biological process and predominance by "binding" in terms of molecular function. Our analysis also revealed that human lysine acetylproteins are significantly enriched in neurodegenerative disorders and cancer pathways. Remarkably, lysine acetylproteins in mitochondria are significantly related to neurodegenerative disorders and those in the nucleus are instead significantly involved in pathways in cancers, all of which might ultimately provide novel global insights into such pathological processes for the therapeutic purpose. The web server is deployed at http://www.bioinfo.bio.cuhk.edu.hk/bpbphka.

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Year:  2012        PMID: 22936054     DOI: 10.1039/c2mb25251a

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  21 in total

1.  STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction.

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Journal:  Brief Bioinform       Date:  2022-01-17       Impact factor: 11.622

Review 2.  Regulation, Function, and Detection of Protein Acetylation in Bacteria.

Authors:  Valerie J Carabetta; Ileana M Cristea
Journal:  J Bacteriol       Date:  2017-07-25       Impact factor: 3.490

3.  Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.

Authors:  Zhen Chen; Xuhan Liu; Fuyi Li; Chen Li; Tatiana Marquez-Lago; André Leier; Tatsuya Akutsu; Geoffrey I Webb; Dakang Xu; Alexander Ian Smith; Lei Li; Kuo-Chen Chou; Jiangning Song
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

4.  Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features.

Authors:  Yuan Li; Mingjun Wang; Huilin Wang; Hao Tan; Ziding Zhang; Geoffrey I Webb; Jiangning Song
Journal:  Sci Rep       Date:  2014-07-21       Impact factor: 4.379

5.  An intelligent system for identifying acetylated lysine on histones and nonhistone proteins.

Authors:  Cheng-Tsung Lu; Tzong-Yi Lee; Yu-Ju Chen; Yi-Ju Chen
Journal:  Biomed Res Int       Date:  2014-07-24       Impact factor: 3.411

6.  LAceP: lysine acetylation site prediction using logistic regression classifiers.

Authors:  Ting Hou; Guangyong Zheng; Pingyu Zhang; Jia Jia; Jing Li; Lu Xie; Chaochun Wei; Yixue Li
Journal:  PLoS One       Date:  2014-02-20       Impact factor: 3.240

7.  Prediction of protein S-nitrosylation sites based on adapted normal distribution bi-profile Bayes and Chou's pseudo amino acid composition.

Authors:  Cangzhi Jia; Xin Lin; Zhiping Wang
Journal:  Int J Mol Sci       Date:  2014-06-10       Impact factor: 5.923

8.  Evidence supporting the existence of a NUPR1-like family of helix-loop-helix chromatin proteins related to, yet distinct from, AT hook-containing HMG proteins.

Authors:  Raul Urrutia; Gabriel Velez; Marisa Lin; Gwen Lomberk; Jose Luis Neira; Juan Iovanna
Journal:  J Mol Model       Date:  2014-07-24       Impact factor: 1.810

9.  Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.

Authors:  Qiqige Wuyun; Wei Zheng; Yanping Zhang; Jishou Ruan; Gang Hu
Journal:  PLoS One       Date:  2016-05-16       Impact factor: 3.240

10.  Temporal Regulation of the Bacillus subtilis Acetylome and Evidence for a Role of MreB Acetylation in Cell Wall Growth.

Authors:  Valerie J Carabetta; Todd M Greco; Andrew W Tanner; Ileana M Cristea; David Dubnau
Journal:  mSystems       Date:  2016-05-31       Impact factor: 6.496

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