MCAM: A Database for Cell Adhesion Molecules
Author Information
Author(s): Sadanandam Anguraj, Pal Sudipendra Nath, Ziskovsky Joe, Hegde Prathibha, Singh Rakesh K.
Primary Institution: University of Nebraska Medical Center
Hypothesis
The lack of a comprehensive CAM-specific database restricts the identification and characterization of novel CAMs.
Conclusion
The MCAM database provides a consolidated resource for searching and analyzing cell adhesion molecules across different species.
Supporting Evidence
- The MCAM database includes information for CAMs from 298 GO database entries.
- The database allows searches using gene symbols, gene names, or accession numbers.
- Users can access virtual expression data for normal and cancer tissues through the database.
Takeaway
The MCAM database helps scientists find and study important proteins that help cells stick together, which is crucial for understanding diseases like cancer.
Methodology
The database was constructed by curating CAM sequences from various sources, including the GO database and Entrez Gene database, and implementing a web interface for user access.
Limitations
The database may not include all CAMs due to the reliance on existing databases and the potential for redundant entries.
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