ArticleProteins2009
Predicting structurally conserved contacts for homologous proteins using sequence conservation filters.
Article in Proteins, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Mutations in the superoxide-responsive regulator SoxR confer fluoroquinolone resistance inCurrent research in microbial sciences · 2026Article
- Bioinformatics and variability in drug response: a protein structural perspective.Journal of the Royal Society, Interface · 2012Review
- Structural basis for μ-opioid receptor binding and activation.Structure (London, England : 1993) · 2011Article
- Relative packing groups in template-based structure prediction: cooperative effects of true positive constraints.Journal of computational biology : a journal of computational molecular cell biology · 2011Article
- FoldGPCR: structure prediction protocol for the transmembrane domain of G protein-coupled receptors from class A.Proteins · 2010Article
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Authors and funding
2 authors.
Funding
Abstract
The prediction of intramolecular contacts has a useful application in predicting the three-dimensional structures of proteins. The accuracy of the template-based contact prediction methods depends on the quality of the template structures. To reduce the false positive predictions associated with using the entire set of template-derived contacts, we develop selection filters that use sequence conservation information to predict subsets of contacts more likely to be structurally conserved between the template and the target. The method is developed specifically for protein families with few available templates such as the G protein-coupled receptor (GPCR) family. It is validated on a test set of 342 template-target pairs from three protein families, and applied to one template-target pair from the GPCR family. We find that the filter selection method increases the accuracy of contact prediction with sufficient coverage for structure prediction.
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Registered trials
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