ArticleBioinformatics (Oxford, England)2016
TOPDOM: database of conservatively located domains and motifs in proteins.
Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 7 citations in OpenAlex.
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- UniTmp: unified resources for transmembrane proteins.Nucleic acids research · 2024Article
- LeishMANIAdb: a comparative resource for Leishmania proteins.Database : the journal of biological databases and curation · 2023Article
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
unlabelledThe TOPDOM database-originally created as a collection of domains and motifs located consistently on the same side of the membranes in α-helical transmembrane proteins-has been updated and extended by taking into consideration consistently localized domains and motifs in globular proteins, too. By taking advantage of the recently developed CCTOP algorithm to determine the type of a protein and predict topology in case of transmembrane proteins, and by applying a thorough search for domains and motifs as well as utilizing the most up-to-date version of all source databases, we managed to reach a 6-fold increase in the size of the whole database and a 2-fold increase in the number of transmembrane proteins. AVAILABILITY AND IMPLEMENTATION: TOPDOM database is available at http://topdom.enzim.hu The webpage utilizes the common Apache, PHP5 and MySQL software to provide the user interface for accessing and searching the database. The database itself is generated on a high performance computer. CONTACT: tusnady.gabor@ttk.mta.hu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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