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StructSorter: a method for continuously updating a comprehensive protein structure alignment database.

Brian Palmer¹, Joseph F Danzer, Kevin Hambly

¹Eidogen-Sertanty, Inc., 9381 Judicial Drive, Suite 200, San Diego, California 92121, USA. bpalmer@eidogen-sertanty.com

Journal of Chemical Information and Modeling

|July 25, 2006

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This study introduces a novel method for rapidly identifying protein structural similarities across large datasets, enabling faster discovery of functional relationships. The developed database and querying system offer a valuable tool for biologists analyzing protein structures.

Area of Science:

Structural Biology
Bioinformatics
Genomics

Background:

High-throughput protein structure determination generates vast datasets.
Identifying structural similarities is crucial for understanding protein function.
Existing methods for large-scale structural comparison are computationally intensive.

Purpose of the Study:

To develop an efficient method for creating and maintaining a database of pairwise protein structure alignments.
To enable rapid retrieval of structural similarities comparable to sequence similarity searches.
To facilitate the discovery of functional relationships from structural data.

Main Methods:

A novel, multistage method for pairwise structural similarity determination.
An efficient clustering protocol to approximate NxN assessments.

Related Experiment Videos

Integration of the Protein Data Bank (PDB) and homology models for human and pathogen genomes.

Development of an automatically updating database and querying system.

Main Results:

A comprehensive database of pairwise structure alignments was created.
The method significantly reduces the time required for large-scale structural comparisons.
A user-friendly querying system allows for databank-wide protein structure similarity retrieval.
The system supports analysis of recently released structures and homology models.

Conclusions:

The developed approach provides an efficient and scalable solution for protein structure comparison.
The querying system democratizes access to structural similarity information for biologists.
This tool accelerates the discovery of functional relationships and aids in understanding protein evolution.