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Mapping Dysfunctional Protein-Protein Interactions in Disease
Published on: October 24, 2025
907
The Protein Disease Database of human body fluids: II. Computer methods and data issues
P F Lemkin1, G A Orr, M P Goldstein
1Image Processing Section/LMMB, NCI-FCRDC/NIH, Frederick, MD 21702, USA.
Applied and Theoretical Electrophoresis : the Official Journal of the International Electrophoresis Society
|January 1, 1995
Summary
The Protein Disease Database (PDD) links proteins to diseases using literature data. This system enables screening for quantitative protein abnormalities in disease states via web browser access.
Area of Science:
- Biochemistry
- Bioinformatics
- Medical Informatics
Background:
- Quantitative protein abnormalities are linked to various disease states.
- Accessing and analyzing protein-disease relationships from biomedical literature is complex.
- Existing methods for protein quantitation include electrophoretic gels, enzymatic, and immunologic assays.
Purpose of the Study:
- To develop and describe the Protein Disease Database (PDD) for querying protein-disease quantitative relationships.
- To utilize the World Wide Web (WWW) for wide distribution and user-friendly access to the PDD.
- To integrate data from diverse protein assay types into a unified database.
Main Methods:
- Developed a relational database (PDD) storing protein and disease information.
- Implemented a client-server SQL database architecture accessible via the Internet.
- Utilized WWW hypertext transfer protocol and Common Gateway Interface for graphical user interfaces and data retrieval.
- Integrated data from peer-reviewed literature, electrophoretic gels, enzymatic, and immunologic assays.
Main Results:
- Established a functional Protein Disease Database (PDD) accessible over the Internet.
- Developed a user-friendly interface for querying protein-disease quantitative relationships.
- Demonstrated the feasibility of integrating diverse protein assay data.
- Enabled transparent data entry, access, and maintenance through a web browser.
Conclusions:
- The PDD provides a valuable resource for screening quantitative protein abnormalities associated with diseases.
- Web-based access significantly enhances the distribution and usability of complex biological data.
- The system design supports efficient data management and retrieval for biomedical research.
