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PDBalert: automatic, recurrent remote homology tracking and protein structure prediction
Vatsal Agarwal1, Michael Remmert, Andreas Biegert
1Department of Biotechnology, Indian Institute of Technology, Roorkee 247667, India. agvatubt@iitr.ernet.in
PDBalert is a new system that automatically alerts researchers when new protein structures are available in the Protein Data Bank (PDB). This helps in timely 3D structure and function prediction using remote homology detection.
Area of Science:
- Biochemistry
- Structural Biology
- Bioinformatics
Background:
- Remote homology detection methods have advanced, enabling 3D model generation even with low sequence identity.
- Current methods require users to repeatedly search the Protein Data Bank (PDB) for new homologous structures.
- This manual process can delay the utilization of newly available protein data.
Purpose of the Study:
- To develop an automated system for monitoring the PDB for new protein structures.
- To provide timely alerts to researchers regarding newly released homologous structures.
- To facilitate the prediction of 3D protein structures and functions.
Main Methods:
- Implemented PDBalert, a web-based system for automatic structure monitoring.
- Utilized HHpred software, a sensitive remote homology detection server based on Hidden Markov Models.
- Integrated email alerts containing links to search results and automated 3D homology models.
Main Results:
- PDBalert sends email notifications upon the release of new homologous structures in the PDB.
- Alerts include direct links to homology search results and generated 3D models.
- The system leverages advanced remote homology detection software for accuracy.
Conclusions:
- PDBalert significantly accelerates information flow from the PDB.
- Researchers can benefit from timely access to new protein structures for their studies.
- The system aids in predicting 3D structure and function of proteins of interest.
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