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GENPRO: automatic generation of Prolog clause files for knowledge-based systems in the biomedical sciences.
1Biomedical Computer Unit, Imperial Cancer Research Fund, London, U.K.
Computer Methods and Programs in Biomedicine
|March 1, 1989
Summary
This study introduces an interactive program to convert protein structure data into Prolog, a programming language for artificial intelligence. This facilitates knowledge-based protein modeling and data integration for AI systems.
Area of Science:
- Bioinformatics
- Computational Biology
- Artificial Intelligence in Biomedicine
Background:
- Growing interest in knowledge-based approaches for protein structure prediction and modeling.
- Need for AI-interpretable data formats for molecular biology.
- Challenges in integrating diverse biological databases for AI systems.
Purpose of the Study:
- To develop a general technique for converting molecular biological data into AI-interpretable structures.
- To create an interactive program for generating Prolog clausal form files from protein structural data.
- To provide a flexible framework for handling various biological data types.
Main Methods:
- Development of an interactive program for data conversion.
- Generation of files in Prolog clausal form from common protein structural data collections.
- Implementation of a user-defined schema system for flexible clause structure definition.
Main Results:
- Successful generation of Prolog clausal form files from protein structural data.
- Demonstration of program flexibility through a schema definition system.
- Establishment of a method extendable to other molecular biological databases.
Conclusions:
- The developed program provides a uniform framework for knowledge-based systems in biomedicine.
- The method facilitates the integration of diverse biological data for AI-driven analysis.
- This approach supports the increasing volume of data available for computational biology and AI applications.