The PICCOLO Database: A Resource for Protein-Protein Interactions
Author Information
Author(s): Bickerton George R, Higueruelo Alicia P, Blundell Tom L
Primary Institution: Department of Biochemistry, University of Cambridge
Hypothesis
The PICCOLO database aims to provide a comprehensive characterization of protein-protein interactions at an atomic level.
Conclusion
The PICCOLO database contains over 260 million interacting atom pairs from 38,202 protein complexes, facilitating detailed analysis of protein-protein interfaces.
Supporting Evidence
- The database captures details of protein-protein interactions at atomic resolution.
- PICCOLO supports large-scale analyses of protein interface properties.
- It includes a web interface for easy access to the data.
- Automated updates ensure the database remains current.
- More than 260 million interacting atom pairs are included.
Takeaway
PICCOLO is like a giant library that helps scientists understand how proteins stick together and work with each other.
Methodology
The database was created using a two-stage algorithm to identify and classify atomic interactions from protein structures in the PDB.
Potential Biases
The reliance on existing PDB data may introduce biases based on the quality and nature of the deposited structures.
Limitations
The PDB is inherently redundant, and some interactions may be falsely identified due to non-specific crystal contacts.
Digital Object Identifier (DOI)
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