Literature DB >> 22402705

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

Shao-Ping Shi1, Jian-Ding Qiu, Xing-Yu Sun, Sheng-Bao Suo, Shu-Yun Huang, Ru-Ping Liang.   

Abstract

Post-translational lysine methylation and acetylation are two major modifications of lysine residues. They play critical roles in various biological processes, especially in gene regulation. Identification of protein methylation and acetylation sites would be a foundation for understanding their modification dynamics and molecular mechanism. This work presents a method called PLMLA that incorporates protein sequence information, secondary structure and amino acid properties to predict methylation and acetylation of lysine residues in whole protein sequences. We apply an encoding scheme based on grouped weight and position weight amino acid composition to extract sequence information and physicochemical properties around lysine sites. The prediction accuracy for methyllysine and acetyllysine are 83.02% and 83.08%, respectively. Feature analysis reveals that methyllysine is likely to occur at the coil region and acetyllysine prefers to occur at the helix region of protein. The upstream residues away from the central site may be close to methylated lysine in three-dimensional structure and have a significant influence on methyllysine, while the positively charged residues may have a significant influence on acetyllysine. The online service is available at http://bioinfo.ncu.edu.cn/inquiries_PLMLA.aspx.

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Year:  2012        PMID: 22402705     DOI: 10.1039/c2mb05502c

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


  17 in total

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Authors:  Yunhua Shi; Richard A Mowery; Jonathan Ashley; Michelle Hentz; Alejandro J Ramirez; Basar Bilgicer; Hilda Slunt-Brown; David R Borchelt; Bryan F Shaw
Journal:  Protein Sci       Date:  2012-08       Impact factor: 6.725

2.  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

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.  Computational Identification of Protein Pupylation Sites by Using Profile-Based Composition of k-Spaced Amino Acid Pairs.

Authors:  Md Mehedi Hasan; Yuan Zhou; Xiaotian Lu; Jinyan Li; Jiangning Song; Ziding Zhang
Journal:  PLoS One       Date:  2015-06-16       Impact factor: 3.240

5.  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

6.  IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations.

Authors:  Md Mehedi Hasan; Md Ashad Alam; Watshara Shoombuatong; Hiroyuki Kurata
Journal:  J Comput Aided Mol Des       Date:  2021-01-04       Impact factor: 3.686

7.  Uncovering the protein lysine and arginine methylation network in Arabidopsis chloroplasts.

Authors:  Claude Alban; Marianne Tardif; Morgane Mininno; Sabine Brugière; Annabelle Gilgen; Sheng Ma; Meryl Mazzoleni; Océane Gigarel; Jacqueline Martin-Laffon; Myriam Ferro; Stéphane Ravanel
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

8.  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

9.  Discriminating between lysine sumoylation and lysine acetylation using mRMR feature selection and analysis.

Authors:  Ning Zhang; You Zhou; Tao Huang; Yu-Chao Zhang; Bi-Qing Li; Lei Chen; Yu-Dong Cai
Journal:  PLoS One       Date:  2014-09-15       Impact factor: 3.240

10.  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

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