Constructing protein polyhedra via orthogonal chemical interactions

被引:0
|
作者
Eyal Golub
Rohit H. Subramanian
Julian Esselborn
Robert G. Alberstein
Jake B. Bailey
Jerika A. Chiong
Xiaodong Yan
Timothy Booth
Timothy S. Baker
F. Akif Tezcan
机构
[1] University of California,Department of Chemistry and Biochemistry
[2] San Diego,Division of Biological Sciences
[3] University of California,Materials Science and Engineering
[4] San Diego,undefined
[5] University of California,undefined
[6] San Diego,undefined
来源
Nature | 2020年 / 578卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Many proteins exist naturally as symmetrical homooligomers or homopolymers1. The emergent structural and functional properties of such protein assemblies have inspired extensive efforts in biomolecular design2–5. As synthesized by ribosomes, proteins are inherently asymmetric. Thus, they must acquire multiple surface patches that selectively associate to generate the different symmetry elements needed to form higher-order architectures1,6—a daunting task for protein design. Here we address this problem using an inorganic chemical approach, whereby multiple modes of protein–protein interactions and symmetry are simultaneously achieved by selective, ‘one-pot’ coordination of soft and hard metal ions. We show that a monomeric protein (protomer) appropriately modified with biologically inspired hydroxamate groups and zinc-binding motifs assembles through concurrent Fe3+ and Zn2+ coordination into discrete dodecameric and hexameric cages. Our cages closely resemble natural polyhedral protein architectures7,8 and are, to our knowledge, unique among designed systems9–13 in that they possess tightly packed shells devoid of large apertures. At the same time, they can assemble and disassemble in response to diverse stimuli, owing to their heterobimetallic construction on minimal interprotein-bonding footprints. With stoichiometries ranging from [2 Fe:9 Zn:6 protomers] to [8 Fe:21 Zn:12 protomers], these protein cages represent some of the compositionally most complex protein assemblies—or inorganic coordination complexes—obtained by design.
引用
收藏
页码:172 / 176
页数:4
相关论文
共 50 条
  • [1] Constructing protein polyhedra via orthogonal chemical interactions
    Golub, Eyal
    Subramanian, Rohit H.
    Esselborn, Julian
    Alberstein, Robert G.
    Bailey, Jake B.
    Chiong, Jerika A.
    Yan, Xiaodong
    Booth, Timothy
    Baker, Timothy S.
    Tezcan, F. Akif
    [J]. NATURE, 2020, 578 (7793) : 172 - +
  • [3] Unfolding orthogonal polyhedra
    O'Rourke, Joseph
    [J]. SURVEYS ON DISCRETE AND COMPUTATIONAL GEOMETRY: TWENTY YEARS LATER, 2008, 453 : 307 - 317
  • [4] Skeleton computation of orthogonal polyhedra
    Martinez, J.
    Vigo, M.
    Pla-Garcia, N.
    [J]. COMPUTER GRAPHICS FORUM, 2011, 30 (05) : 1573 - 1582
  • [5] Steinitz Theorems for Orthogonal Polyhedra
    Eppstein, David
    Mumford, Elena
    [J]. PROCEEDINGS OF THE TWENTY-SIXTH ANNUAL SYMPOSIUM ON COMPUTATIONAL GEOMETRY (SCG'10), 2010, : 429 - 438
  • [6] Continuous Flattening of Orthogonal Polyhedra
    Demaine, Erik D.
    Demaine, Martin L.
    Itoh, Jin-ichi
    Nara, Chie
    [J]. DISCRETE AND COMPUTATIONAL GEOMETRY AND GRAPHS, JCDCGG 2015, 2016, 9943 : 85 - 93
  • [7] Orthogonal polyhedra: Representation and computation
    Bournez, O
    Maler, O
    Pnueli, A
    [J]. HYBRID SYSTEMS: COMPUTATION AND CONTROL, 1999, 1569 : 46 - 60
  • [8] A new method for constructing entangled states via orthogonal arrays
    Yu XiaoYuan
    Zha XinWei
    Che JunLing
    [J]. SCIENTIA SINICA-PHYSICA MECHANICA & ASTRONOMICA, 2018, 48 (02)
  • [9] A PARALLEL ALGORITHM FOR CONSTRUCTING PROJECTION POLYHEDRA
    SHAH, NR
    [J]. INFORMATION PROCESSING LETTERS, 1993, 48 (03) : 113 - 119
  • [10] STEINITZ THEOREMS FOR SIMPLE ORTHOGONAL POLYHEDRA
    Eppstein, David
    Mumford, Elena
    [J]. JOURNAL OF COMPUTATIONAL GEOMETRY, 2014, 5 (01) : 179 - 244