Protein Domains as Information Processing Units

被引:3
作者
Lenaerts, Tom [1 ,2 ]
Schymkowitz, Joost [1 ,2 ]
Rousseau, Frederic [1 ,2 ]
机构
[1] VIB, SWITCH, B-1050 Brussels, Belgium
[2] Vrije Univ Brussel, B-1050 Brussels, Belgium
关键词
Protein structure; domains; information theory; communication; signal transduction; computational methods; sequence versus structure; thermodynamic coupling; FUJINAMI SARCOMA-VIRUS; SH2; DOMAIN; SIGNAL-TRANSDUCTION; BINDING-SITES; PDZ DOMAINS; CLUSTAL-W; PATHWAYS; NETWORK; COMPLEX; SYSTEMS;
D O I
10.2174/138920309787847626
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Transducing environmental signals from the cell surface to the nucleus in order to evoke appropriate gene regulatory response requires an accurate and robust medium to propagate biological information. The structure of proteins and especially the dynamic properties of these structures allows for the uptake and restitution of biological information from and to the environment. To understand the functioning and regulation of signalling pathways we therefore have to understand how protein structures encode biological information. Towards this goal several computational methods have been carried out over the last years. First we will provide an overview of these in silico approaches. Next, using the well known SH2 domain as a case study, we describe two specific approaches in more detail to illustrate the similarities and differences between sequence-based and structure-based methods for the analysis of protein communication. Both methods address the same question yet from a different level of description. As a consequence both have their limits and a number of pros and cons that are discussed here. Together all the methods discussed here provide an arsenal of in silico approaches that may be used to understand how information content is maintained through protein structural dynamics, elucidating explicitly information transfer in signalling networks.
引用
收藏
页码:133 / 145
页数:13
相关论文
共 65 条
[1]  
Aiyar A, 2000, Methods Mol Biol, V132, P221
[2]   Network inference, analysis, and modeling in systems biology [J].
Albert, Reke .
PLANT CELL, 2007, 19 (11) :3327-3338
[3]   Simulating cell biology [J].
Andrews, Steven S. ;
Arkin, Adam R. .
CURRENT BIOLOGY, 2006, 16 (14) :R523-R527
[4]   Network biology:: Understanding the cell's functional organization [J].
Barabási, AL ;
Oltvai, ZN .
NATURE REVIEWS GENETICS, 2004, 5 (02) :101-U15
[5]   Determination of protein structures consistent with NMR order parameters [J].
Best, RB ;
Vendruscolo, M .
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2004, 126 (26) :8090-8091
[6]   Relation between native ensembles and experimental structures of proteins [J].
Best, Robert B. ;
Lindorff-Larsen, Kresten ;
DePristo, Mark A. ;
Vendruscolo, Michele .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (29) :10901-10906
[7]   Protein interaction networks from yeast to human [J].
Bork, P ;
Jensen, LJ ;
von Mering, C ;
Ramani, AK ;
Lee, I ;
Marcotte, EM .
CURRENT OPINION IN STRUCTURAL BIOLOGY, 2004, 14 (03) :292-299
[8]   The evolution of domain arrangements in proteins and interaction networks [J].
Bornberg-Bauer, E ;
Beaussart, F ;
Kummerfeld, S ;
Teichmann, S ;
Weiner, J .
CELLULAR AND MOLECULAR LIFE SCIENCES, 2005, 62 (04) :435-445
[9]  
Bradshaw JM, 2003, ADV PROTEIN CHEM, V61, P161
[10]   PROTEIN MOLECULES AS COMPUTATIONAL ELEMENTS IN LIVING CELLS [J].
BRAY, D .
NATURE, 1995, 376 (6538) :307-312