6DKM

DHD131


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.38 Å
  • R-Value Free: 0.283 
  • R-Value Work: 0.241 
  • R-Value Observed: 0.244 

Starting Model: in silico
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wwPDB Validation   3D Report Full Report


This is version 1.5 of the entry. See complete history


Literature

Programmable design of orthogonal protein heterodimers.

Chen, Z.Boyken, S.E.Jia, M.Busch, F.Flores-Solis, D.Bick, M.J.Lu, P.VanAernum, Z.L.Sahasrabuddhe, A.Langan, R.A.Bermeo, S.Brunette, T.J.Mulligan, V.K.Carter, L.P.DiMaio, F.Sgourakis, N.G.Wysocki, V.H.Baker, D.

(2019) Nature 565: 106-111

  • DOI: https://doi.org/10.1038/s41586-018-0802-y
  • Primary Citation of Related Structures:  
    6DKM, 6DLC, 6DLM, 6DM9, 6DMA, 6DMP

  • PubMed Abstract: 

    Specificity of interactions between two DNA strands, or between protein and DNA, is often achieved by varying bases or side chains coming off the DNA or protein backbone-for example, the bases participating in Watson-Crick pairing in the double helix, or the side chains contacting DNA in TALEN-DNA complexes. By contrast, specificity of protein-protein interactions usually involves backbone shape complementarity 1 , which is less modular and hence harder to generalize. Coiled-coil heterodimers are an exception, but the restricted geometry of interactions across the heterodimer interface (primarily at the heptad a and d positions 2 ) limits the number of orthogonal pairs that can be created simply by varying side-chain interactions 3,4 . Here we show that protein-protein interaction specificity can be achieved using extensive and modular side-chain hydrogen-bond networks. We used the Crick generating equations 5 to produce millions of four-helix backbones with varying degrees of supercoiling around a central axis, identified those accommodating extensive hydrogen-bond networks, and used Rosetta to connect pairs of helices with short loops and to optimize the remainder of the sequence. Of 97 such designs expressed in Escherichia coli, 65 formed constitutive heterodimers, and the crystal structures of four designs were in close agreement with the computational models and confirmed the designed hydrogen-bond networks. In cells, six heterodimers were fully orthogonal, and in vitro-following mixing of 32 chains from 16 heterodimer designs, denaturation in 5 M guanidine hydrochloride and reannealing-almost all of the interactions observed by native mass spectrometry were between the designed cognate pairs. The ability to design orthogonal protein heterodimers should enable sophisticated protein-based control logic for synthetic biology, and illustrates that nature has not fully explored the possibilities for programmable biomolecular interaction modalities.


  • Organizational Affiliation

    Department of Biochemistry, University of Washington, Seattle, WA, USA.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
DHD131_A
A, C, E, G
79synthetic constructMutation(s): 0 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
Sequence Annotations
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  • Reference Sequence
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Entity ID: 2
MoleculeChains Sequence LengthOrganismDetailsImage
DHD131_B
B, D, F, H
79synthetic constructMutation(s): 0 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

Unit Cell:
Length ( Å )Angle ( ˚ )
a = 39.199α = 90
b = 74.709β = 92.75
c = 105.257γ = 90
Software Package:
Software NamePurpose
PHENIXrefinement
XDSdata reduction
XDSdata scaling
PHASERphasing

Structure Validation

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Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
Howard Hughes Medical Institute (HHMI)United States--

Revision History  (Full details and data files)

  • Version 1.0: 2018-12-19
    Type: Initial release
  • Version 1.1: 2019-01-02
    Changes: Data collection, Database references
  • Version 1.2: 2019-01-16
    Changes: Data collection, Database references
  • Version 1.3: 2019-11-20
    Changes: Author supporting evidence
  • Version 1.4: 2024-03-13
    Changes: Data collection, Database references
  • Version 1.5: 2024-04-03
    Changes: Refinement description