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PDBsum entry 4m7k

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protein ligands metals Protein-protein interface(s) links
Immune system PDB id
4m7k

 

 

 

 

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Contents
Protein chains
220 a.a.
229 a.a.
Ligands
ACT
Metals
_CA
Waters ×347
PDB id:
4m7k
Name: Immune system
Title: Crystal structure of anti-tissue factor antibody 10h10
Structure: 10h10 light chain. Chain: l. Fragment: see remark 999. Engineered: yes. 10h10 heavy chain. Chain: h. Fragment: fd, see remark 999. Engineered: yes
Source: Mus musculus, homo sapiens. Mouse, human. Organism_taxid: 10090, 9606. Expressed in: homo sapiens. Expression_system_taxid: 9606. Expression_system_cell_line: hek 293. Expression_system_cell_line: hek 293
Resolution:
1.90Å     R-factor:   0.206     R-free:   0.243
Authors: A.Teplyakov,G.Obmolova,T.Malia,G.L.Gilliland
Key ref: A.Teplyakov et al. (2014). Antibody modeling assessment II. Structures and models. Proteins, 82, 1563-1582. PubMed id: 24633955 DOI: 10.1002/prot.24554
Date:
12-Aug-13     Release date:   26-Mar-14    
PROCHECK
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 Headers
 References

Protein chain
No UniProt id for this chain
Struc: 220 a.a.
Protein chain
No UniProt id for this chain
Struc: 229 a.a.
Key:    Secondary structure  CATH domain

 

 
DOI no: 10.1002/prot.24554 Proteins 82:1563-1582 (2014)
PubMed id: 24633955  
 
 
Antibody modeling assessment II. Structures and models.
A.Teplyakov, J.Luo, G.Obmolova, T.J.Malia, R.Sweet, R.L.Stanfield, S.Kodangattil, J.C.Almagro, G.L.Gilliland.
 
  ABSTRACT  
 
To assess the state-of-the-art in antibody structure modeling, a blinded study was conducted. Eleven unpublished Fab crystal structures were used as a benchmark to compare Fv models generated by seven structure prediction methodologies. In the first round, each participant submitted three non-ranked complete Fv models for each target. In the second round, CDR-H3 modeling was performed in the context of the correct environment provided by the crystal structures with CDR-H3 removed. In this report we describe the reference structures and present our assessment of the models. Some of the essential sources of errors in the predictions were traced to the selection of the structure template, both in terms of the CDR canonical structures and VL/VH packing. On top of this, the errors present in the Protein Data Bank structures were sometimes propagated in the current models, which emphasized the need for the curated structural database devoid of errors. Modeling non-canonical structures, including CDR-H3, remains the biggest challenge for antibody structure prediction. Proteins 2014; 82:1563-1582. © 2014 Wiley Periodicals, Inc.
 

 

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