PDBalert: automatic, recurrent remote homology tracking and protein structure prediction

被引:3
作者
Agarwal, Vatsal [3 ]
Remmert, Michael [1 ,2 ]
Biegert, Andreas [1 ,2 ]
Soeding, Johannes [1 ,2 ]
机构
[1] Univ Munich, Gene Ctr Munich, Dept Chem & Biochem, D-81377 Munich, Germany
[2] Univ Munich, Ctr Integrated Prot Sci CIPSM, Dept Chem & Biochem, D-81377 Munich, Germany
[3] Indian Inst Technol, Dept Biotechnol, Roorkee 247667, Uttar Pradesh, India
关键词
D O I
10.1186/1472-6807-8-51
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Background: During the last years, methods for remote homology detection have grown more and more sensitive and reliable. Automatic structure prediction servers relying on these methods can generate useful 3D models even below 20% sequence identity between the protein of interest and the known structure ( template). When no homologs can be found in the protein structure database (PDB), the user would need to rerun the same search at regular intervals in order to make timely use of a template once it becomes available. Results: PDBalert is a web-based automatic system that sends an email alert as soon as a structure with homology to a protein in the user's watch list is released to the PDB database or appears among the sequences on hold. The mail contains links to the search results and to an automatically generated 3D homology model. The sequence search is performed with the same software as used by the very sensitive and reliable remote homology detection server HHpred, which is based on pairwise comparison of Hidden Markov models. Conclusion: PDBalert will accelerate the information flow from the PDB database to all those who can profit from the newly released protein structures for predicting the 3D structure or function of their proteins of interest.
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页数:5
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