Sign in
BioinformaticsNucleic Acids Research
Peer-reviewed journal article

The Protein Common Assembly Database (ProtCAD): A comprehensive structural resource of protein complexes

Qifang XuiD, Roland L. DunbrackiD

Abstract

Proteins often act through oligomeric interactions with other proteins. X-ray crystallography and cryo-electron microscopy provide detailed information on the structures of biological assemblies, defined as the most likely biologically relevant structures derived from experimental data. In crystal structures, the most relevant assembly may be ambiguously determined, since multiple assemblies observed in the crystal lattice may be plausible. It is estimated that 10-15% of PDB entries may have incorrect or ambiguous assembly annotations. Accurate assemblies are required for understanding functional data and training of deep learning methods for predicting assembly structures. As with any other kind of biological data, replication via multiple independent experiments provides important validation for the determination of biological assembly structures. Here we present the Protein Common Assembly Database (ProtCAD), which presents clusters of protein assembly structures observed in independent structure determinations of homologous proteins in the Protein Data Bank (PDB). ProtCAD is searchable by PDB entry, UniProt identifiers, or Pfam domain designations and provides downloads of coordinate files, PyMol scripts, and publicly available assembly annotations for each cluster of assemblies. About 60% of PDB entries contain assemblies in clusters of at least 2 independent experiments. All clusters and coordinates are available on ProtCAD web site (http://dunbrack2.fccc.edu/protcad).

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
7
FWCI
0.49
Field percentile
top 48%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISXu '19Xu '20Korkmaz '17Xia '25Bliven '18Appasamy '23
71% semantic matchBioinformatics
Qifang Xu, Roland L. Dunbrack·Current Opinion in Structural Biology·Apr 1, 2019· 20 citations