Prediction of the subcellular location of apoptosis proteins

被引:152
作者
Chen, Ying-Li [1 ]
Li, Qian-Zhong [1 ]
机构
[1] Inner Mongolia Univ, Coll Sci & Technol, Dept Phys, Lab Theoret Biophys, Hohhot 010021, Peoples R China
基金
中国国家自然科学基金;
关键词
apoptosis protein; subcellular location; increment of diversity; local compositions of twin amino acids; hydropathy distribution;
D O I
10.1016/j.jtbi.2006.11.010
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Apoptosis proteins have a central role in the development and the homeostasis of an organism. These proteins are very important for understanding the mechanism of programmed cell death. The function of an apoptosis protein is closely related to its subcellular location. Based on the concept that the subcellular location of an apoptosis protein is mainly determined by its amino acid sequence, a new algorithm for prediction of the subcellular location of an apoptosis protein is proposed. By using of a distinctive set of information parameters derived from the primary sequence of 317 apoptosis proteins, the increment of diversity (ID), the sole prediction parameter, is calculated. The higher predictive success rates than the previous other algorithms is obtained by the jackknife tests using the expanded dataset. Our prediction results show that the local compositions of twin amino acids and hydropathy distribution are very useful to predict subcellular location of protein. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:775 / 783
页数:9
相关论文
共 59 条
[1]   The Bcl-2 protein family: Arbiters of cell survival [J].
Adams, JM ;
Cory, S .
SCIENCE, 1998, 281 (5381) :1322-1326
[2]   Stroke-damaged neurons may commit cellular suicide [J].
Barinaga, M .
SCIENCE, 1998, 281 (5381) :1302-1303
[3]   The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003 [J].
Boeckmann, B ;
Bairoch, A ;
Apweiler, R ;
Blatter, MC ;
Estreicher, A ;
Gasteiger, E ;
Martin, MJ ;
Michoud, K ;
O'Donovan, C ;
Phan, I ;
Pilbout, S ;
Schneider, M .
NUCLEIC ACIDS RESEARCH, 2003, 31 (01) :365-370
[4]   Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains [J].
Bulashevska, Alla ;
Eils, Roland .
BMC BIOINFORMATICS, 2006, 7 (1)
[5]   Relation between amino acid composition and cellular location of proteins [J].
Cedano, J ;
Aloy, P ;
PerezPons, JA ;
Querol, E .
JOURNAL OF MOLECULAR BIOLOGY, 1997, 266 (03) :594-600
[6]   Solution structure of the RAIDD CARD and model for CARD/CARD interaction in caspase-2 and caspase-9 recruitment [J].
Chou, JJ ;
Matsuo, H ;
Duan, H ;
Wagner, G .
CELL, 1998, 94 (02) :171-180
[7]   Prediction of the tertiary structure and substrate binding site of caspase-8 [J].
Chou, KC ;
Jones, D ;
Heinrikson, RL .
FEBS LETTERS, 1997, 419 (01) :49-54
[8]   Prediction of the tertiary structure of a caspase-9/inhibitor complex [J].
Chou, KC ;
Tomasselli, AG ;
Heinrikson, RL .
FEBS LETTERS, 2000, 470 (03) :249-256
[9]   Using functional domain composition and support vector machines for prediction of protein subcellular location [J].
Chou, KC ;
Cai, YD .
JOURNAL OF BIOLOGICAL CHEMISTRY, 2002, 277 (48) :45765-45769
[10]   Protein subcellular location prediction [J].
Chou, KC ;
Elrod, DW .
PROTEIN ENGINEERING, 1999, 12 (02) :107-118