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Searching protein structure databases with DaliLite v.3

Open access
Holm, L., Kääriäinen, S., Rosenström, P., Schenkel, A.·2008·Bioinformatics

Abstract

The Red Queen said, ‘It takes all the running you can do, to keep in the same place.’ Lewis Carrol Motivation: Newly solved protein structures are routinely scanned against structures already in the Protein Data Bank (PDB) using Internet servers. In favourable cases, comparing 3D structures may reveal biologically interesting similarities that are not detectable by comparing sequences. The number of known structures continues to grow exponentially. Sensitive—thorough but slow—search algorithms are challenged to deliver results in a reasonable time, as there are now more structures in the PDB than seconds in a day. The brute-force solution would be to distribute the individual comparisons on a massively parallel computer. A frugal solution, as implemented in the Dali server, is to reduce the total computational cost by pruning search space using prior knowledge about the distribution of structures in fold space. This note reports paradigm revisions that enable maintaining such a knowledge base up-to-date on a PC. Availability: The Dali server for protein structure database searching at http://ekhidna.biocenter.helsinki.fi/dali_server is running DaliLite v.3. The software can be downloaded for academic use from http://ekhidna.biocenter.helsinki.fi/dali_lite/downloads/v3. Contact: liisa.holm@helsinki.fi

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Metadata

Authors
Holm, L., Kääriäinen, S., Rosenström, P., & Schenkel, A.
Venue
Bioinformatics
Published
2008-09-25
Volume
24
Issue
23
Pages
2780-2781
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2137955461
Cited by
1,018
References
0
FWCI
62.29
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Searching protein structure databases with DaliLite v.3. https://app.cochat.ai/papers/10.1093/bioinformatics/btn507
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Holm, L., Kääriäinen, S., Rosenström, P., & Schenkel, A. (2008). Searching protein structure databases with DaliLite v.3. Bioinformatics. https://doi.org/10.1093/bioinformatics/btn507

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