3UL8

Crystal structure of the TV3 mutant V134L


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.50 Å
  • R-Value Free: 0.300 
  • R-Value Work: 0.240 

Starting Model: experimental
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Ligand Structure Quality Assessment 


This is version 3.1 of the entry. See complete history


Literature

Structure-Based Rational Design of a Toll-like Receptor 4 (TLR4) Decoy Receptor with High Binding Affinity for a Target Protein.

Han, J.Kim, H.J.Lee, S.C.Hong, S.Park, K.Jeon, Y.H.Kim, D.Cheong, H.K.Kim, H.S.

(2012) PLoS One 7: e30929-e30929

  • DOI: https://doi.org/10.1371/journal.pone.0030929
  • Primary Citation of Related Structures:  
    3UL7, 3UL8, 3UL9, 3ULA

  • PubMed Abstract: 

    Repeat proteins are increasingly attracting much attention as alternative scaffolds to immunoglobulin antibodies due to their unique structural features. Nonetheless, engineering interaction interface and understanding molecular basis for affinity maturation of repeat proteins still remain a challenge. Here, we present a structure-based rational design of a repeat protein with high binding affinity for a target protein. As a model repeat protein, a Toll-like receptor4 (TLR4) decoy receptor composed of leucine-rich repeat (LRR) modules was used, and its interaction interface was rationally engineered to increase the binding affinity for myeloid differentiation protein 2 (MD2). Based on the complex crystal structure of the decoy receptor with MD2, we first designed single amino acid substitutions in the decoy receptor, and obtained three variants showing a binding affinity (K(D)) one-order of magnitude higher than the wild-type decoy receptor. The interacting modes and contributions of individual residues were elucidated by analyzing the crystal structures of the single variants. To further increase the binding affinity, single positive mutations were combined, and two double mutants were shown to have about 3000- and 565-fold higher binding affinities than the wild-type decoy receptor. Molecular dynamics simulations and energetic analysis indicate that an additive effect by two mutations occurring at nearby modules was the major contributor to the remarkable increase in the binding affinities.


  • Organizational Affiliation

    Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Korea.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Toll-like receptor 4, Variable lymphocyte receptor B279Homo sapiensEptatretus burgeri
This entity is chimeric
Mutation(s): 1 
Gene Names: TLR4VLRB
UniProt & NIH Common Fund Data Resources
Find proteins for O00206 (Homo sapiens)
Explore O00206 
Go to UniProtKB:  O00206
PHAROS:  O00206
GTEx:  ENSG00000136869 
Find proteins for Q4G1L2 (Eptatretus burgeri)
Explore Q4G1L2 
Go to UniProtKB:  Q4G1L2
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupsQ4G1L2O00206
Glycosylation
Glycosylation Sites: 2Go to GlyGen: O00206-1
Sequence Annotations
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  • Reference Sequence
Oligosaccharides

Help

Entity ID: 2
MoleculeChains Length2D Diagram Glycosylation3D Interactions
beta-D-mannopyranose-(1-4)-2-acetamido-2-deoxy-beta-D-glucopyranose-(1-4)-2-acetamido-2-deoxy-beta-D-glucopyranose
B
3N-Glycosylation
Glycosylation Resources
GlyTouCan:  G15407YE
GlyCosmos:  G15407YE
GlyGen:  G15407YE
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.50 Å
  • R-Value Free: 0.300 
  • R-Value Work: 0.240 
  • Space Group: P 21 21 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 32.04α = 90
b = 50.5β = 90
c = 192.78γ = 90
Software Package:
Software NamePurpose
ADSCdata collection
MOLREPphasing
CNSrefinement
MOSFLMdata reduction
SCALAdata scaling

Structure Validation

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Ligand Structure Quality Assessment 


Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2012-04-04
    Type: Initial release
  • Version 1.1: 2017-08-23
    Changes: Refinement description, Source and taxonomy
  • Version 2.0: 2018-01-31
    Changes: Advisory, Atomic model, Derived calculations, Non-polymer description, Structure summary
  • Version 3.0: 2020-07-29
    Type: Remediation
    Reason: Carbohydrate remediation
    Changes: Advisory, Atomic model, Data collection, Database references, Derived calculations, Structure summary
  • Version 3.1: 2023-11-01
    Changes: Data collection, Database references, Refinement description, Structure summary