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Using multiple templates to improve quality of homology models in automated homology modeling
Stockholm University.
Stockholm University.
Stockholm University.ORCID iD: 0000-0002-2734-2794
Stockholm University.
2008 (English)In: Protein Science, ISSN 0961-8368, E-ISSN 1469-896X, Vol. 17, no 6, 990-1002 p.Article in journal (Refereed) Published
Abstract [en]

When researchers build high-quality models of protein structure from sequence homology, it is today common to use several alternative target-template alignments. Several methods can, at least in theory, utilize information from multiple templates, and many examples of improved model quality have been reported. However, to our knowledge, thus far no study has shown that automatic inclusion of multiple alignments is guaranteed to improve models without artifacts. Here, we have carried out a systematic investigation of the potential of multiple templates to improving homology model quality. We have used test sets consisting of targets from both recent CASP experiments and a larger reference set. In addition to Modeller and Nest, a new method (Pfrag) for multiple template-based modeling is used, based on the segment-matching algorithm from Levitt's SegMod program. Our results show that all programs can produce multi-template models better than any of the single-template models, but a large part of the improvement is simply due to extension of the models. Most of the remaining improved cases were produced by Modeller. The most important factor is the existence of high-quality single-sequence input alignments. Because of the existence of models that are worse than any of the top single-template models, the average model quality does not improve significantly. However, by ranking models with a model quality assessment program such as ProQ, the average quality is improved by approximately 5% in the CASP7 test set.

Place, publisher, year, edition, pages
2008. Vol. 17, no 6, 990-1002 p.
Keyword [en]
protein structure/folding, structure, protein structure prediction, homology modeling
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:kth:diva-82620DOI: 10.1110/ps.073344908ISI: 000256166600004PubMedID: 18441233OAI: oai:DiVA.org:kth-82620DiVA: diva2:498470
Note
QC 20120220Available from: 2012-02-12 Created: 2012-02-12 Last updated: 2017-12-07Bibliographically approved

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Lindahl, Erik

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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