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PDBsum entry 4m7k

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Top Page protein ligands metals Protein-protein interface(s) links
Immune system PDB id
4m7k
Contents
Protein chains
220 a.a.
229 a.a.
Ligands
ACT
Metals
_CA
Waters ×347

References listed in PDB file
Key reference
Title Antibody modeling assessment ii. Structures and models.
Authors A.Teplyakov, J.Luo, G.Obmolova, T.J.Malia, R.Sweet, R.L.Stanfield, S.Kodangattil, J.C.Almagro, G.L.Gilliland.
Ref. Proteins, 2014, 82, 1563-1582. [DOI no: 10.1002/prot.24554]
PubMed id 24633955
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 Eleven unpublished Fab crystal structures were used as a benchmark to compare Fv models generated by seven structure prediction methodologies.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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 Headers

 

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