Identifying the molecular functions of electron transport proteins using radial basis function networks and biochemical properties

被引:47
作者
Le, Nguyen-Quoc-Khanh [1 ]
Nguyen, Trinh-Trung-Duong [1 ]
Ou, Yu-Yen [1 ]
机构
[1] Yuan Ze Univ, Dept Comp Sci & Engn, Chungli, Taiwan
关键词
Electron transport proteins; Transporter; Annotation; Feature selection; BARREL MEMBRANE-PROTEINS; FUNCTION NEURAL-NETWORK; SCORING MATRICES; RBF NETWORKS; PREDICTION; SITES; PSSM; DATABASE;
D O I
10.1016/j.jmgm.2017.01.003
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The electron transport proteins have an important role in storing and transferring electrons in cellular respiration, which is the most proficient process through which cells gather energy from consumed food. According to the molecular functions, the electron transport chain components could be formed with five complexes with several different electron carriers and functions. Therefore, identifying the molecular functions in the electron transport chain is vital for helping biologists understand the electron transport chain process and energy production in cells. This work includes two phases for discriminating electron transport proteins from transport proteins and classifying categories of five complexes in electron transport proteins. In the first phase, the performances from PSSM with AAlndex feature set were successful in identifying electron transport proteins in transport proteins with achieved sensitivity of 73.2%, specificity of 94.1%, and accuracy of 91.3%, with MCC of 0.64 for independent data set. With the second phase, our method can approach a precise model for identifying of five complexes with different molecular functions in electron transport proteins. The PSSM with AAlndex properties in five complexes achieved MCC of 0.51, 0.47, 0.42, 0.74, and 1.00 for independent data set, respectively. We suggest that our study could be a power model for determining new proteins that belongs into which molecular function of electron transport proteins. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:166 / 178
页数:13
相关论文
共 21 条
[1]   Gapped BLAST and PSI-BLAST: a new generation of protein database search programs [J].
Altschul, SF ;
Madden, TL ;
Schaffer, AA ;
Zhang, JH ;
Zhang, Z ;
Miller, W ;
Lipman, DJ .
NUCLEIC ACIDS RESEARCH, 1997, 25 (17) :3389-3402
[2]   The Universal Protein Resource (UniProt) in 2010 [J].
Apweiler, Rolf ;
Martin, Maria Jesus ;
O'Donovan, Claire ;
Magrane, Michele ;
Alam-Faruque, Yasmin ;
Antunes, Ricardo ;
Barrell, Daniel ;
Bely, Benoit ;
Bingley, Mark ;
Binns, David ;
Bower, Lawrence ;
Browne, Paul ;
Chan, Wei Mun ;
Dimmer, Emily ;
Eberhardt, Ruth ;
Fedotov, Alexander ;
Foulger, Rebecca ;
Garavelli, John ;
Huntley, Rachael ;
Jacobsen, Julius ;
Kleen, Michael ;
Laiho, Kati ;
Leinonen, Rasko ;
Legge, Duncan ;
Lin, Quan ;
Liu, Wudong ;
Luo, Jie ;
Orchard, Sandra ;
Patient, Samuel ;
Poggioli, Diego ;
Pruess, Manuela ;
Corbett, Matt ;
di Martino, Giuseppe ;
Donnelly, Mike ;
van Rensburg, Pieter ;
Bairoch, Amos ;
Bougueleret, Lydie ;
Xenarios, Ioannis ;
Altairac, Severine ;
Auchincloss, Andrea ;
Argoud-Puy, Ghislaine ;
Axelsen, Kristian ;
Baratin, Delphine ;
Blatter, Marie-Claude ;
Boeckmann, Brigitte ;
Bolleman, Jerven ;
Bollondi, Laurent ;
Boutet, Emmanuel ;
Quintaje, Silvia Braconi ;
Breuza, Lionel .
NUCLEIC ACIDS RESEARCH, 2010, 38 :D142-D148
[3]   Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties [J].
Chen, Shu-An ;
Ou, Yu-Yen ;
Lee, Tzong-Yi ;
Gromiha, M. Michael .
BIOINFORMATICS, 2011, 27 (15) :2062-2067
[4]   Incorporating significant amino acid pairs to identify O-linked glycosylation sites on transmembrane proteins and non-transmembrane proteins [J].
Chen, Shu-An ;
Lee, Tzong-Yi ;
Ou, Yu-Yen .
BMC BIOINFORMATICS, 2010, 11
[5]   A simple statistical method for discriminating outer membrane proteins with better accuracy [J].
Gromiha, MM ;
Suwa, M .
BIOINFORMATICS, 2005, 21 (07) :961-968
[6]  
Gromiha MM, 2010, PROTEIN BIOINFORMATICS: FROM SEQUENCE TO FUNCTION, P1
[7]   Protein secondary structure prediction based on position-specific scoring matrices [J].
Jones, DT .
JOURNAL OF MOLECULAR BIOLOGY, 1999, 292 (02) :195-202
[8]   AAindex: amino acid index database, progress report 2008 [J].
Kawashima, Shuichi ;
Pokarowski, Piotr ;
Pokarowska, Maria ;
Kolinski, Andrzej ;
Katayama, Toshiaki ;
Kanehisa, Minoru .
NUCLEIC ACIDS RESEARCH, 2008, 36 :D202-D205
[9]  
Lin C., 2003, Conference papers - International Communication Association, P1
[10]   Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs [J].
Nguyen-Quoc-Khanh Le ;
Ou, Yu-Yen .
BMC BIOINFORMATICS, 2016, 17