Links tagged with 'factual databases'

Found 132 links

Displaying 15 links

SPIKEDatabase Content

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SPIKE (Signaling Pathways Integrated Knowledge Engine) is a database for highly curated interactions for particular human pathways, along with literature-referenced information on the nature of each interaction. Pathways are laid out as maps that reflect the curator's understanding and make the utilization of the pathways easy. The database currently focuses primarily on pathways describing DNA damage response, cell cycle, programmed cell death and hearing related pathways.

links directory index: 4
TitlePublication YearGoogle Scholar Citation Count
SPIKE: a database of highly curated human signaling pathways20114

SSAHA2Tool Content

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SSAHA2 (Sequence Search and Alignment by Hashing Algorithm) is a pairwise sequence alignment program designed for the efficient mapping of sequencing reads onto genomic reference sequences.

links directory index: 490
TitlePublication YearGoogle Scholar Citation Count
SSAHA: a fast search method for large DNA databases2001490

SStructViewTool Content

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RNA secondary structure viewer applet; must be integrated into web page to be implemented; can link to multiple computational backends.

STITCHDatabase Content

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STITCH database integrates the data for interactions between small molecules and proteins dispersed over the literature and various databases of biological pathways, drug-target relationships and binding affinities. Interactions are incorporated from BindingDB, PharmGKB and the Comparative Toxicogenomics Database. The resulting network can be explored interactively or used as the basis for large-scale analyses.

This content is being maintained by MKuhn.

STRAPTool Content

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The Structural Alignment Program for Proteins (STRAP) is a java-based program that can be run over the web using a Java Web Start enabled browser or downloaded and run as a stand-alone application. Alignments can be done using one of several methods, including ClustalW, JAligner and T_coffee. STRAP is also able to incorporate structure information and interfaces with programs such as Pymol and Rasmol. There is also a tutorial included.

SuperimposeTool Content

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Superimpose web server performs structural similarity searches for small molecules, parts of proteins (i.e. binding sites) or whole proteins, with a preference towards 3D structure based methods. Users are assisted in selection of algorithms and databases that best suit their needs.

links directory index: 16
TitlePublication YearGoogle Scholar Citation Count
Superimpose: a 3D structural superposition server200816

SuperSweetDatabase Content

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SuperSweet is a collection of carbohydrates, artificial sweeteners and other sweet tasting agents like proteins and peptides. Structural information and properties such as number of calories, therapeutic annotations and a sweetness-index are stored in SuperSweet. The database provides a modeled 3D structure of the sweet taste receptor and binding poses of the small sweet molecules. A user-friendly graphical interface allows similarity searching, visualization of docked sweeteners into the receptor etc. A sweetener classification tree and browsing features allow quick requests to be made to the database.

This content is being maintained by robertpreissner.

SWISS-2DPAGEDatabase Content

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This is a 2D gel electrophoresis database containing data for proteins identified on SDS-PAGE or 2D-PAGE reference maps.

links directory index: 103
TitlePublication YearGoogle Scholar Citation Count
The 1999 SWISS-2DPAGE database update2000103

SYFPEITHIDatabase Content

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SYFPEITHI is a database comprising more than 7000 peptide sequences known to bind class I and class II MHC molecules. The entries are compiled from published reports only. The database can be used to predict the immunogenicity of given peptide sequences.

links directory index: 1525
TitlePublication YearGoogle Scholar Citation Count
SYFPEITHI: database for MHC ligands and peptide motifs19991525

Systems Biology Markup Language (SBML)Resource Content

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The Systems Biology Markup Language (SBML) is a computer-readable format for representing models of biochemical reaction networks. SBML is applicable to metabolic networks, cell-signaling pathways, genomic regulatory networks, and many other areas in systems biology.

T-COFFEETool Content

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The T-COFFEE site includes links to a collection of tools for computing, evaluating, and manipulating multiple alignments of protein sequences and structures. T-COFFEE is a protein multiple sequence alignment tool for sequences with less than 30 percent identity. Expresso (or 3DCoffee) aligns sequences using structural information. M-Coffee is a meta-method for computing multiple sequence alignments by combining alternative alignment methods. Other algorithms provide RNA sequence alignment, and distantly related sequence alignment by homology extension. A consistency based multiple sequence alignment program has been added.

T3DBDatabase Content

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The Toxin and Toxin-Target Database (T3DB) is a unique bioinformatics resource that compiles comprehensive information about common or ubiquitous toxins and their toxin-targets. Each T3DB record (ToxCard) contains over 80 data fields providing detailed information on chemical properties and descriptors, toxicity values, protein and gene sequences (for both targets and toxins), molecular and cellular interaction data, toxicological data, mechanistic information and references. This information has been manually extracted and manually verified from numerous sources, including other electronic databases, government documents, textbooks and scientific journals. A key focus of the T3DB is on providing 'depth' over 'breadth' with detailed descriptions, mechanisms of action, and information on toxins and toxin-targets. Potential applications of the T3DB include clinical metabolomics, toxin target prediction, toxicity prediction and toxicology education.

TDR TargetsDatabase Content

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Tropical Disease Research (TDR) Database: Designed and developed to facilitate the rapid identification and prioritization of molecular targets for drug development, focusing on pathogens responsible for neglected human diseases. The database integrates pathogen specific genomic information with functional data for genes collected from various sources, including literature curation. Information can be browsed and queried.

links directory index: 5
TitlePublication YearGoogle Scholar Citation Count
TDR Targets: a chemogenomics resource for neglected diseases.20125

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