Links tagged with 'tertiary protein structure'

Found 166 links

Displaying 15 links

Institute of Enzymology ServersTool Content

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A set of severs developed by the Institute of Enzymology that includes tools for transmembrane protein structure prediction and structural analyses.

IntActDatabase Content

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IntAct is molecular interaction database and toolkit. Data is abstracted from the literature or from direct data depositions by expert curators following a deep annotation model providing a high level of detail. The search interface allows the user to iteratively develop complex queries, exploiting the detailed annotation with hierarchical controlled vocabularies. Results are provided at any stage in a simplified, tabular view.

Integrated Microbial Genomes (IMG)Database Content

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The integrated microbial genomes (IMG) system serves as a community resource for comparative analysis of publicly available genomes in a comprehensive integrated context. IMG contains both draft and complete microbial genomes integrated with other publicly available genomes from all three domains of life, together with a large number of plasmids and viruses. IMG provides tools and viewers for analyzing and reviewing the annotations of genes and genomes in a comparative context.

ITS2Tool Content

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The Internal Transcribed Spacer 2 Database (ITS2) includes a homology based RNA structure prediction algorithm which allows the detection and secondary structure prediction of ITS2 sequences. This resource also contains more than 25,000 pre-calculated secondary structures for currently known ITS2 sequences that can be searched and browsed via taxonomy.

ITS2Database Content

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The ITS2 Database holds information about sequence, structure and taxonomic classification of all internal transcribed spacer 2 (ITS2) in GenBank. ITS2 can now be searched with a modified BLAST considering both sequence and structure, enabling rapid taxon sampling. Novel sequences can be annotated using the HMM based approach and modelled according to multiple template structures. Sequences can be searched for known and newly identified motifs.

KEGGDatabase Content

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The KEGG PATHWAY database contains pathway maps for the molecular systems in both normal and perturbed states. In the KEGG DISEASE database, each disease is represented by a list of known disease genes, any known environmental factors at the molecular level, diagnostic markers and therapeutic drugs, which may reflect the underlying molecular system. The KEGG DRUG database contains chemical structures and/or chemical components of all drugs in Japan, including crude drugs and TCM (Traditional Chinese Medicine) formulas, and drugs in the USA and Europe. The new disease/drug information resource named KEGG MEDICUS can be used as a reference knowledge base for computational analysis of molecular networks, especially, by integrating large-scale experimental datasets.

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Megx.netDatabase Content

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Megx.net is a database and portal that provides integrated access to georeferenced marker genes, environment data and marine genome and metagenome projects for microbial ecological genomics. All data are stored in the Microbial Ecological Genomics DataBase (MegDB), which is subdivided to hold both sequence and habitat data and global environmental data layers. With the Genes Mapserver, all data can be interactively visualized on a world map and statistics describing environmental parameters can be calculated. Sequence entries have been curated to comply with the proposed minimal standards for genomes and metagenomes (MIGS/MIMS) of the Genomic Standards Consortium.

MEME SuiteTool Content

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The MEME Suite web server is a unified portal for discovery and analysis of sequence motifs (e.g. DNA binding sites, protein interaction domains). Motifs with/without gaps may be discovered, searched for in DNA and protein databases, compared to other motifs and analyzed for putative function by association with gene ontology terms. MEME is a tool designed for discovering and searching for DNA motifs such as transcription factor binding sites (TFBS) or protein domains.

MeMotifDatabase Content

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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.

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