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ProtCID: a data resource for structural information on protein interactions.

Qifang Xu1, Roland L Dunbrack2

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This summary is machine-generated.

The Protein Common Interface Database (ProtCID) now analyzes protein domains, expanding its ability to identify biological assemblies and interactions. This enhances structural bioinformatics accessibility for scientists studying protein structures.

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Area of Science:

  • Structural Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Abundant structural data exists for protein interactions, but accessing it comprehensively is challenging for non-specialists.
  • The Protein Common Interface Database (ProtCID) previously clustered full-length protein chain interfaces to identify biological assemblies.

Purpose of the Study:

  • To extend ProtCID analysis to the individual protein domain level.
  • To increase the identification of biological assemblies and facilitate hypothesis generation.
  • To broaden ProtCID's scope to include domain interactions with peptides, nucleic acids, and ligands.

Main Methods:

  • Analysis of protein structures at the individual domain level.
  • Clustering of protein domain interfaces.
  • Integration of domain family analysis for diverse molecular interactions.

Main Results:

  • Significantly increased the number of large protein-protein clusters within ProtCID.
  • Enabled hypothesis generation for a wider range of biological assembly structures.
  • Expanded ProtCID's utility to include domain interactions with non-protein molecules.

Conclusions:

  • Extending ProtCID to domain-level analysis greatly enhances the discovery of biological assemblies.
  • The enhanced ProtCID facilitates a deeper understanding of molecular interactions across various biological systems.
  • ProtCID offers comprehensive annotations and coordinate sets for all identified clusters, supporting further research.