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PDBsum entry 5pys

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protein ligands metals Protein-protein interface(s) links
Transcription PDB id
5pys

 

 

 

 

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Contents
Protein chains
178 a.a.
Ligands
MES
EDO ×2
Metals
_ZN ×5
Waters ×579
PDB id:
5pys
Name: Transcription
Title: Pandda analysis group deposition -- crystal structure of sp100 after initial refinement with no ligand modelled (structure 88)
Structure: Nuclear autoantigen sp-100. Chain: a, b. Synonym: nuclear dot-associated sp100 protein,speckled 100 kda. Engineered: yes
Source: Homo sapiens. Human. Organism_taxid: 9606. Gene: sp100. Expressed in: escherichia coli. Expression_system_taxid: 562
Resolution:
2.09Å     R-factor:   0.300     R-free:   0.361
Authors: N.M.Pearce,T.Krojer,R.Talon,A.R.Bradley,M.Fairhead,R.Sethi,N.Wright, E.Maclean,P.Collins,J.Brandao-Neto,A.Douangamath,Z.Renjie,A.Dias, J.Ng,P.E.Brennan,O.Cox,C.Bountra,C.H.Arrowsmith,A.Edwards,F.Von Delft
Key ref: N.M.Pearce et al. (2017). A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density. Nat Commun, 8, 15123. PubMed id: 28436492
Date:
08-Feb-17     Release date:   22-Mar-17    
PROCHECK
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 Headers
 References

Protein chains
P23497  (SP100_HUMAN) -  Nuclear autoantigen Sp-100 from Homo sapiens
Seq:
Struc:
 
Seq:
Struc:
879 a.a.
178 a.a.*
Key:    Secondary structure
* PDB and UniProt seqs differ at 157 residue positions (black crosses)

 

 
Nat Commun 8:15123 (2017)
PubMed id: 28436492  
 
 
A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density.
N.M.Pearce, T.Krojer, A.R.Bradley, P.Collins, R.P.Nowak, R.Talon, B.D.Marsden, S.Kelm, J.Shi, C.M.Deane, F.von Delft.
 
  ABSTRACT  
 
In macromolecular crystallography, the rigorous detection of changed states (for example, ligand binding) is difficult unless signal is strong. Ambiguous ('weak' or 'noisy') density is experimentally common, since molecular states are generally only fractionally present in the crystal. Existing methodologies focus on generating maximally accurate maps whereby minor states become discernible; in practice, such map interpretation is disappointingly subjective, time-consuming and methodologically unsound. Here we report the PanDDA method, which automatically reveals clear electron density for the changed state-even from inaccurate maps-by subtracting a proportion of the confounding 'ground state'; changed states are objectively identified from statistical analysis of density distributions. The method is completely general, implying new best practice for all changed-state studies, including the routine collection of multiple ground-state crystals. More generally, these results demonstrate: the incompleteness of atomic models; that single data sets contain insufficient information to model them fully; and that accuracy requires further map-deconvolution approaches.
 

 

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