Protein Interaction Networks and Databases
Author Information
Author(s): Javier De Las Rivas, Alberto de Luis
Primary Institution: Cancer Research Center (CIC, USAL-CSIC), University of Salamanca and CSIC
Hypothesis
Can we better understand protein-protein interactions through experimental and computational methods?
Conclusion
The study highlights the complexity of protein interactions and the need for better definitions and databases to manage this data.
Supporting Evidence
- Recent advances in biotechnology and bioinformatics are generating vast amounts of data on protein interactions.
- Different experimental methods yield different types of protein interaction data.
- Databases like BIND, DIP, and STRING are crucial for storing and analyzing protein interaction data.
Takeaway
Scientists are trying to figure out how proteins in our cells talk to each other, and they are building tools to help us understand these conversations better.
Methodology
The review discusses various experimental and computational methods used to study protein-protein interactions.
Potential Biases
Different methods may yield overlapping but unreliable data on protein interactions.
Limitations
The review notes that many high-throughput methods lack the ability to accurately annotate types of protein interactions.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website