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Updated: Jun 4, 2026
16:41
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
A method for supporting retrieval of articles on protein structure analysis considering users' intention.
Riku Kyogoku1, Ryo Fujimoto, Tomonobu Ozaki
1Graduate School of System Informatics, Kobe University, Rokkodai, Nada, Kobe 657-8501, Japan. kyogoku@cs25.scitec.kobe-u.ac.jp
BMC Bioinformatics
|February 24, 2011
Summary
This study introduces a novel system for retrieving scientific articles on protein structure and function. It enhances search relevance by analyzing conceptual relationships, improving discovery of intended information.
Area of Science:
- Biochemistry
- Bioinformatics
- Computational Biology
Background:
- Scientific literature on protein structure and function is vast and complex.
- Keyword-based searches often fail due to ambiguous terminology and lack of uniform representation.
- Effective retrieval requires understanding user intent and conceptual relevance.
Purpose of the Study:
- To develop a system for evaluating relevance between articles on protein structure and function.
- To improve the accuracy of scientific literature retrieval by considering user intention.
Main Methods:
- Utilized biological databases and ontologies to define conceptual hierarchies.
- Defined relevance as a path length between concepts, adaptively modified by user-provided articles.
- Implemented a retrieval system displaying related articles on a 2D map.
Main Results:
- The system successfully evaluates relevance between articles based on structural and functional concepts.
- User queries, represented by example articles, are used to refine relevance.
- Retrieved articles are visualized on a 2D map for intuitive exploration.
Conclusions:
- The developed system effectively retrieves highly relevant articles that match user intentions.
- Experimental validation confirmed the system's ability to enhance scientific literature discovery.
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The primary structure of a protein is its amino acid sequence.
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