Emergence of symmetry in homooligomeric biological assemblies

被引:139
作者
Andre, Ingemar [1 ]
Strauss, Charlie E. M. [2 ]
Kaplan, David B. [3 ]
Bradley, Philip [4 ]
Baker, David [1 ,5 ]
机构
[1] Univ Washington, Dept Biochem, Seattle, WA 98195 USA
[2] Los Alamos Natl Lab, Los Alamos, NM 87545 USA
[3] Univ Washington, Inst Nucl Theory, Seattle, WA 98195 USA
[4] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA
[5] Univ Washington, Howard Hughes Med Inst, Seattle, WA 98195 USA
基金
美国国家卫生研究院;
关键词
evolution; protein structure; Monte Carlo Simulation; modeling;
D O I
10.1073/pnas.0807576105
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Naturally occurring homooligomeric protein complexes exhibit striking internal symmetry. The evolutionary origins of this symmetry have been the subject of considerable speculation; proposals for the advantages associated with symmetry include greater folding efficiency, reduced aggregation, amenability to allosteric regulation, and greater adaptability. An alternative possibility stems from the idea that to contribute to fitness, and hence be subject to evolutionary optimization, a complex must be significantly populated, which implies that the interaction energy between monomers in the ancestors of modern-day complexes must have been sufficient to at least partially overcome the entropic cost of association. Here, we investigate the effects of this bias toward very-low-energy complexes on the distribution of symmetry in primordial homooligomers modeled as randomly interacting pairs of monomers. We demonstrate quantitatively that a bias toward very-low-energy complexes can result in the emergence of symmetry from random ensembles in which the overall frequency of symmetric complexes is vanishingly small. This result is corroborated by using explicit protein-protein docking calculations to generate ensembles of randomly docked complexes: the fraction of these that are symmetric increases from 0.02% in the overall population to >50% in very low energy subpopulations.
引用
收藏
页码:16148 / 16152
页数:5
相关论文
共 16 条
[1]   DOMAIN SWAPPING - ENTANGLING ALLIANCES BETWEEN PROTEINS [J].
BENNETT, MJ ;
CHOE, S ;
EISENBERG, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1994, 91 (08) :3127-3131
[2]   3D DOMAIN SWAPPING - A MECHANISM FOR OLIGOMER ASSEMBLY [J].
BENNETT, MJ ;
SCHLUNEGGER, MP ;
EISENBERG, D .
PROTEIN SCIENCE, 1995, 4 (12) :2455-2468
[3]   Entropy in protein folding and in protein-protein interactions [J].
Brady, GP ;
Sharp, KA .
CURRENT OPINION IN STRUCTURAL BIOLOGY, 1997, 7 (02) :215-221
[4]   STRUCTURE OF SMALL VIRUSES [J].
CRICK, FHC ;
WATSON, JD .
NATURE, 1956, 177 (4506) :473-475
[5]   Macromolecular modeling with Rosetta [J].
Das, Rhiju ;
Baker, David .
ANNUAL REVIEW OF BIOCHEMISTRY, 2008, 77 :363-382
[6]   Structural symmetry and protein function [J].
Goodsell, DS ;
Olson, AJ .
ANNUAL REVIEW OF BIOPHYSICS AND BIOMOLECULAR STRUCTURE, 2000, 29 :105-153
[7]   Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations [J].
Gray, JJ ;
Moughon, S ;
Wang, C ;
Schueler-Furman, O ;
Kuhlman, B ;
Rohl, CA ;
Baker, D .
JOURNAL OF MOLECULAR BIOLOGY, 2003, 331 (01) :281-299
[8]   SYMMETRY OF PROTEIN OLIGOMERS FORMED BY ISOLOGOUS ASSOCIATION [J].
HANSON, KR .
JOURNAL OF MOLECULAR BIOLOGY, 1966, 22 (02) :405-&
[9]   Assembly reflects evolution of protein complexes [J].
Levy, Emmanuel D. ;
Erba, Elisabetta Boeri ;
Robinson, Carol V. ;
Teichmann, Sarah A. .
NATURE, 2008, 453 (7199) :1262-U66
[10]   3D complex: A structural classification of protein complexes [J].
Levy, Emmanuel D. ;
Pereira-Leal, Jose B. ;
Chothia, Cyrus ;
Teichmann, Sarah A. .
PLOS COMPUTATIONAL BIOLOGY, 2006, 2 (11) :1395-1406