5VET

PHOSPHOLIPASE A2, RE-REFINEMENT OF THE PDB STRUCTURE 1JQ8 WITHOUT THE PUTATIVE COMPLEXED OLIGOPEPTIDE


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.00 Å
  • R-Value Free: 0.227 
  • R-Value Work: 0.155 
  • R-Value Observed: 0.159 

wwPDB Validation   3D Report Full Report


This is version 1.1 of the entry. See complete history

Re-refinement Note

This entry reflects an alternative modeling of the original data in: 1JQ8


Literature

Detect, correct, retract: How to manage incorrect structural models.

Wlodawer, A.Dauter, Z.Porebski, P.J.Minor, W.Stanfield, R.Jaskolski, M.Pozharski, E.Weichenberger, C.X.Rupp, B.

(2018) FEBS J 285: 444-466

  • DOI: https://doi.org/10.1111/febs.14320
  • Primary Citation of Related Structures:  
    5VEH, 5VEP, 5VEQ, 5VER, 5VET, 5VF2, 5VF5, 5VGA

  • PubMed Abstract: 

    The massive technical and computational progress of biomolecular crystallography has generated some adverse side effects. Most crystal structure models, produced by crystallographers or well-trained structural biologists, constitute useful sources of information, but occasional extreme outliers remind us that the process of structure determination is not fail-safe. The occurrence of severe errors or gross misinterpretations raises fundamental questions: Why do such aberrations emerge in the first place? How did they evade the sophisticated validation procedures which often produce clear and dire warnings, and why were severe errors not noticed by the depositors themselves, their supervisors, referees and editors? Once detected, what can be done to either correct, improve or eliminate such models? How do incorrect models affect the underlying claims or biomedical hypotheses they were intended, but failed, to support? What is the long-range effect of the propagation of such errors? And finally, what mechanisms can be envisioned to restore the validity of the scientific record and, if necessary, retract publications that are clearly invalidated by the lack of experimental evidence? We suggest that cognitive bias and flawed epistemology are likely at the root of the problem. By using examples from the published literature and from public repositories such as the Protein Data Bank, we provide case summaries to guide correction or improvement of structural models. When strong claims are unsustainable because of a deficient crystallographic model, removal of such a model and even retraction of the affected publication are necessary to restore the integrity of the scientific record.


  • Organizational Affiliation

    Protein Structure Section, Macromolecular Crystallography Laboratory, National Cancer Institute, Frederick, MD, USA.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Phospholipase A2 VRV-PL-VIIIa
A, B
121Daboia russelii pulchellaMutation(s): 0 
EC: 3.1.1.4
UniProt
Find proteins for P59071 (Daboia russelii)
Explore P59071 
Go to UniProtKB:  P59071
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP59071
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.00 Å
  • R-Value Free: 0.227 
  • R-Value Work: 0.155 
  • R-Value Observed: 0.159 
  • Space Group: C 2 2 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 76.825α = 90
b = 90.375β = 90
c = 77.59γ = 90
Software Package:
Software NamePurpose
REFMACrefinement
PDB_EXTRACTdata extraction
DENZOdata reduction
SCALEPACKdata scaling
AMoREphasing

Structure Validation

View Full Validation Report



Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2018-06-20
    Type: Initial release
  • Version 1.1: 2022-04-13
    Changes: Database references, Structure summary