ArticleNucleic acids research2010
MeMotif: a database of linear motifs in alpha-helical transmembrane proteins.
Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The evolutionary history of Saccharomyces species inferred from completed mitochondrial genomes and revision in the 'yeast mitochondrial genetic code'.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017Article
- Computational modeling of membrane proteins.Proteins · 2015Review
- Expediting topology data gathering for the TOPDB database.Nucleic acids research · 2015Article
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- Article
- Deorphanizing the human transmembrane genome: A landscape of uncharacterized membrane proteins.Acta pharmacologica Sinica · 2014Review
- Transferring functional annotations of membrane transporters on the basis of sequence similarity and sequence motifs.BMC bioinformatics · 2013Article
- Computational studies of membrane proteins: models and predictions for biological understanding.Biochimica et biophysica acta · 2012Review
- Tryptophan residues promote membrane association for a plant lipid glycosyltransferase involved in phosphate stress.The Journal of biological chemistry · 2011Article
- TMPad: an integrated structural database for helix-packing folds in transmembrane proteins.Nucleic acids research · 2011Article
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7 authors.
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Abstract
Membrane proteins are important for many processes in the cell and used as main drug targets. The increasing number of high-resolution structures available makes for the first time a characterization of local structural and functional motifs in alpha-helical transmembrane proteins possible. MeMotif (http://projects.biotec.tu-dresden.de/memotif) is a database and wiki which collects more than 2000 known and novel computationally predicted linear motifs in alpha-helical transmembrane proteins. Motifs are fully described in terms of several structural and functional features and editable. Motifs contained in MeMotif can be used in different biological applications, from the identification of biochemically important functional residues which are candidates for mutagenesis experiments to the improvement of tools for transmembrane protein modeling.
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