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FATCAT: a web server for flexible structure comparison and structure similarity searching
1The Burnham Institute, 10901 N. Torrey Pines Road, La Jolla, CA 92037, USA. yye@burnham.org
The FATCAT server offers flexible protein structure comparison, identifying internal rearrangements for more accurate similarity searches. This tool aids in understanding protein structure dynamics and relationships.
Area of Science:
- Structural Biology
- Bioinformatics
- Computational Biology
Background:
- Protein structure comparison is crucial for understanding biological function and evolution.
- Existing web resources rely on rigid alignment algorithms, limiting their ability to detect subtle structural differences.
- Flexible alignment is needed to accurately compare protein structures with internal rearrangements.
Purpose of the Study:
- To introduce the FATCAT server, a novel web-based tool for flexible protein structure comparison.
- To provide access to two algorithms: FATCAT-pairwise for comparing two structures and FATCAT-search for database searching.
- To enable the identification of hinges and internal rearrangements in protein structures.
Main Methods:
- The FATCAT server implements a flexible protein structure comparison algorithm.
- FATCAT-pairwise performs pairwise flexible structure comparison, reporting alignment and statistical significance (P-value).
- FATCAT-search enables database searching for structurally similar proteins using a query structure.
Main Results:
- The FATCAT server provides accurate structural alignments by accounting for internal rearrangements.
- Users can visualize superimposed structures online or download them in PDB format.
- FATCAT-search returns a ranked list of similar protein structures based on P-values.
Conclusions:
- The FATCAT server offers a significant advancement over rigid alignment methods for protein structure comparison.
- It facilitates the identification of conformational changes and structural similarities, aiding biological research.
- The server is a valuable resource for structural biologists and bioinformaticians.
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