7JXT

Ovine COX-1 in complex with the subtype-selective derivative 2a


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 3.35 Å
  • R-Value Free: 0.250 
  • R-Value Work: 0.210 
  • R-Value Observed: 0.212 

wwPDB Validation   3D Report Full Report


This is version 1.2 of the entry. See complete history


Literature

Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase-1 Inhibitors by Automated De Novo Design.

Friedrich, L.Cingolani, G.Ko, Y.H.Iaselli, M.Miciaccia, M.Perrone, M.G.Neukirch, K.Bobinger, V.Merk, D.Hofstetter, R.K.Werz, O.Koeberle, A.Scilimati, A.Schneider, G.

(2021) Adv Sci (Weinh) 8: e2100832-e2100832

  • DOI: https://doi.org/10.1002/advs.202100832
  • Primary Citation of Related Structures:  
    7JXT

  • PubMed Abstract: 

    The repertoire of natural products offers tremendous opportunities for chemical biology and drug discovery. Natural product-inspired synthetic molecules represent an ecologically and economically sustainable alternative to the direct utilization of natural products. De novo design with machine intelligence bridges the gap between the worlds of bioactive natural products and synthetic molecules. On employing the compound Marinopyrrole A from marine Streptomyces as a design template, the algorithm constructs innovative small molecules that can be synthesized in three steps, following the computationally suggested synthesis route. Computational activity prediction reveals cyclooxygenase (COX) as a putative target of both Marinopyrrole A and the de novo designs. The molecular designs are experimentally confirmed as selective COX-1 inhibitors with nanomolar potency. X-ray structure analysis reveals the binding of the most selective compound to COX-1. This molecular design approach provides a blueprint for natural product-inspired hit and lead identification for drug discovery with machine intelligence.


  • Organizational Affiliation

    Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 4, Zurich, 8093, Switzerland.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Prostaglandin G/H synthase 1
A, B
553Ovis ariesMutation(s): 0 
Gene Names: PTGS1COX1
EC: 1.14.99.1
Membrane Entity: Yes 
UniProt
Find proteins for P05979 (Ovis aries)
Explore P05979 
Go to UniProtKB:  P05979
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP05979
Sequence Annotations
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  • Reference Sequence
Oligosaccharides

Help

Entity ID: 2
MoleculeChains Length2D Diagram Glycosylation3D Interactions
2-acetamido-2-deoxy-beta-D-glucopyranose-(1-4)-2-acetamido-2-deoxy-beta-D-glucopyranose
C [auth E],
D [auth F],
E [auth G],
F [auth H],
G [auth I],
C [auth E],
D [auth F],
E [auth G],
F [auth H],
G [auth I],
H [auth J]
2N-Glycosylation
Glycosylation Resources
GlyTouCan:  G42666HT
GlyCosmos:  G42666HT
GlyGen:  G42666HT
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 3.35 Å
  • R-Value Free: 0.250 
  • R-Value Work: 0.210 
  • R-Value Observed: 0.212 
  • Space Group: P 65
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 181.6α = 90
b = 181.6β = 90
c = 103.401γ = 120
Software Package:
Software NamePurpose
PHENIXrefinement
PDB_EXTRACTdata extraction
HKL-2000data reduction
HKL-2000data scaling
PHASERphasing

Structure Validation

View Full Validation Report



Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
National Institutes of Health/National Institute of General Medical Sciences (NIH/NIGMS)United StatesOD017987
National Institutes of Health/National Cancer Institute (NIH/NCI)United StatesCA56036
National Institutes of Health/National Institute of General Medical Sciences (NIH/NIGMS)United StatesOD023479

Revision History  (Full details and data files)

  • Version 1.0: 2021-09-01
    Type: Initial release
  • Version 1.1: 2022-03-16
    Changes: Database references, Structure summary
  • Version 1.2: 2023-10-18
    Changes: Data collection, Refinement description