Literature DB >> 27615149

Analysis and comparison of lignin peroxidases between fungi and bacteria using three different modes of Chou's general pseudo amino acid composition.

Mandana Behbahani1, Hassan Mohabatkar2, Mokhtar Nosrati1.   

Abstract

Lignin peroxidases (LiPs) are important enzymes in the degradation process of lignin which are presented in different species of fungi and bacteria. In the present study, sequence and structure-based properties of LPs in fungi and bacteria are compared. These properties include pseudo amino acid composition (PseAAC), physicochemical properties and the secondary structure. Autodock 4 has been used for docking between LiPs and lignan. The motifs of LiP were predicted by MEME tool. Statistical analysis and Multinomial Naïve Bayes (MNB) algorithm were used for the classification of two LiP protein groups. The results demonstrated that molecular weight, isoelectric point, aliphatic, extinction coefficient and random coil percentage of LiPs in fungi and bacteria were significantly different between these two groups. The classification of these two groups based on the concept of PseAAC showed over 80% accuracy. The binding free energy between bacterial LiPs and lignan is significantly more than fungi LiP and ligand. The aliphatic and instability of most important motifs of bacteria and fungi were significantly different. In conclusion, the results indicated that computational techniques could provide useful information for comparing fungal and bacterial LiPs. These results can also explain that there is a relationship between efficacy and physicochemical properties of LiPs.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Binary classification; Bioremediation; Lignin peroxidase

Mesh:

Substances:

Year:  2016        PMID: 27615149     DOI: 10.1016/j.jtbi.2016.09.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  15 in total

Review 1.  Some illuminating remarks on molecular genetics and genomics as well as drug development.

Authors:  Kuo-Chen Chou
Journal:  Mol Genet Genomics       Date:  2020-01-01       Impact factor: 3.291

2.  Estimating the effects of transcription factors binding and histone modifications on gene expression levels in human cells.

Authors:  Lu-Qiang Zhang; Qian-Zhong Li
Journal:  Oncotarget       Date:  2017-06-20

3.  Prediction of HIV-1 and HIV-2 proteins by using Chou's pseudo amino acid compositions and different classifiers.

Authors:  Juan Mei; Ji Zhao
Journal:  Sci Rep       Date:  2018-02-05       Impact factor: 4.379

4.  2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.

Authors:  Bin Liu; Fan Yang; Kuo-Chen Chou
Journal:  Mol Ther Nucleic Acids       Date:  2017-04-13

5.  iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.

Authors:  Pengmian Feng; Hui Ding; Hui Yang; Wei Chen; Hao Lin; Kuo-Chen Chou
Journal:  Mol Ther Nucleic Acids       Date:  2017-03-29

6.  iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.

Authors:  Wei Chen; Pengmian Feng; Hui Yang; Hui Ding; Hao Lin; Kuo-Chen Chou
Journal:  Oncotarget       Date:  2017-01-17

7.  Detecting Succinylation sites from protein sequences using ensemble support vector machine.

Authors:  Qiao Ning; Xiaosa Zhao; Lingling Bao; Zhiqiang Ma; Xiaowei Zhao
Journal:  BMC Bioinformatics       Date:  2018-06-25       Impact factor: 3.169

8.  A novel feature ranking method for prediction of cancer stages using proteomics data.

Authors:  Ehsan Saghapour; Saeed Kermani; Mohammadreza Sehhati
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

Review 9.  A Review on Metal- and Metal Oxide-Based Nanozymes: Properties, Mechanisms, and Applications.

Authors:  Qianwen Liu; Amin Zhang; Ruhao Wang; Qian Zhang; Daxiang Cui
Journal:  Nanomicro Lett       Date:  2021-07-09

10.  MLACP: machine-learning-based prediction of anticancer peptides.

Authors:  Balachandran Manavalan; Shaherin Basith; Tae Hwan Shin; Sun Choi; Myeong Ok Kim; Gwang Lee
Journal:  Oncotarget       Date:  2017-08-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.