Related Experiment Videos
[Modeling of all genome and database].
1Department of Biomolecular Design, School of Pharmaceutical Sciences, Kitasato-University, Tokyo 108-8641, Japan.
Nihon Yakurigaku Zasshi. Folia Pharmacologica Japonica
|December 21, 2002
Summary
We developed Full Automatic Protein Modeling System (FAMS) software for comprehensive protein modeling. FAMS achieved top performance in the CAFASP2 competition, demonstrating its high-quality database generation capabilities.
Area of Science:
- Computational Biology
- Structural Bioinformatics
- Genomics
Context:
- Protein structure prediction is crucial for understanding biological function.
- Automated modeling systems are essential for large-scale genomic analysis.
- The Critical Assessment of protein Structure Prediction (CASP) provides a benchmark for prediction methods.
Purpose:
- To develop and present the Full Automatic Protein Modeling System (FAMS).
- To model proteins encoded by all genes using FAMS.
- To evaluate FAMS performance in a competitive setting.
Summary:
- FAMS software was developed for automated protein modeling.
- Proteins encoded by all genes were modeled using FAMS.
- FAMS achieved high rankings in the CAFASP2 competition, indicating excellent performance in automated protein modeling.
- The developed system generates high-quality protein model databases.
Impact:
- FAMS provides a robust tool for large-scale protein modeling.
- The system's success in CAFASP2 validates its effectiveness.
- High-quality databases generated by FAMS can accelerate biological research.
- Web services for FAMS modeling and FAMSBASE are publicly accessible.