Make the Connections that Lead to New Ideas
Incorporating the legacy products HumanPSD™, YPD™ , and WormPD, with the well-established pathway resource TRANSPATH™, and the newly developed PlantPSD.
Product Overview
BKL PROTEOME™ is a database and data analysis platform containing manually-curated details from the PubMed literature in a highly structured and easily searchable format. This powerful query system, with specialized tools for gene set analysis and pathway visualization, allows scientists to quickly find answers to questions important for their research – without performing a lengthy literature search, thus saving time and facilitating better research decisions.
A subscription to BKL PROTEOME provides you with:
- Up-to-date protein details for more than 20 species including human, mouse, rat, yeast, worm, and plant species, organized in a one-report-per-protein format
- Disease reports that detail disease biomarker associations, including key information regarding causality, molecular alteration, and tissue specificity
- Drug reports that detail drug-protein interactions and the pathways that may be affected by therapeutic intervention
- Searchable access to over 980,000 functional assignments in our Ontology tool providing the ability to:
- Find proteins with shared characteristics such as disease or drug associations, tissue expression, pathways, etc.
- Map functional attributes to your uploaded gene sets
- Analyze gene sets for statistical over-representation of specific characteristics
- A pathway visualization tool for building custom networks out of experimentally demonstrated protein-protein binding, signaling and transcriptional regulation interactions
- Seamless access to model organism and plant proteins, providing comparative systems to enhance your research on human disease and aging models, biofuels, and fungal drug discovery
Learn more - check out statistics, user publications, take a free trial or subscribe online.
Click for more details on the yeast, worm and plant components of BKL PROTEOME
The information you need
Now with disease, pathway, drug, and model organisms together in one resource
Disease-biomarker associations: Find genes linked to disease states and quickly see which pathways, regulation networks, and drug interactions they're involved in. Associations are organized so you can easily get a complete understanding of the known relationships between a protein and a disease. Find out at a glance:
- Is the association correlative, causal or preventative in nature
- Is the disease linked to mRNA overexpression, altered protein activity, or a DNA mutation
- Is the relationship prognostic, does it reveal a potential drug target, or give hints to disease mechanism
- Is the relationship supported by many studies, or is it an isolated finding
Drug-protein interactions: Identify pathways and networks that might be influenced by a certain drug, and better direct your drug development decisions.
- 7,000 Drug-protein interactions from Drugbank
- 1,200 Chemical regulators in yeast
- 12,000 Detailed annotations on drug interactions in human, yeast and worm
Signaling, metabolic pathway, and expression regulation data: Visualize pathways and regulation networks.
- 190,000 signaling interactions
- 2,700 regulators of fungal genes
- 9,600 pathway assignments
Yeast and worm models - learn what model organism research reveals about your disease, pathogen, or pathway of interest.
- S. cerevisiae, S. pombe - for disease and aging models, fungal pathogen models, biofuels, and basic research
- C. elegans - for disease and aging models, miRNA technology, nematode pathogen models, and basic research
Fungal pathogens - facilitate fungal pathogen drug discovery and infectious disease mechanism research with data for 18 human pathogen species in one resource.
- C. albicans and other Candida species
- Aspergillus species
- Blastomyces species
- Coccidioides immitis
- Cryptoccocus neoformans
- Histoplasma capsulatum
- Pneumocystis species
Plant Science - Our plant resource contains a valuable combination of public source data and expert manual curation so you can save time getting a complete picture on your gene or pathway of interest in one place:
- Arabidopsis, soybean, maize, sorghum, and rice
- Phenotype and expression details not found in other sources
- Cell signaling and metabolic pathway data
- Expression data with BAR visualization
- Sequence-based GO and domain assignments for uncharacterized proteins
Learn more - check out statistics, user publications, take a free trial or subscribe online.
Find meaning in experimental gene sets
Gene set analysis – our gene set analysis tool enables you to upload a microarray dataset, or take a set of genes from an internal search, and see the functional assignments that are associated with these proteins. In addition you can perform statistical analysis to identify diseases, pathways, or processes that are overrepresented in your gene set.
- Learn if your microarray dataset contains a high proportion of genes involved in apoptosis, associated with obesity, or expressed in tumors.
Ontology Search - our ontology search tool gives you searchable access to our extensive, manually-curated, functional assignment data, so you can identify highly defined protein sets that are relevant to your research.
- Find proteins that share a disease association, an expression location, are involved in the same pathway, or a combination of all of these, without doing extensive literature searches.
Learn more about our Ontology Tool in the Feature Spotlight
Pathfinder - our pathway visualization tool allows you to load whole pathways or build up from a single molecule, and lets you overlay drug and disease information onto the pathway you’ve developed.
- Load a gene set onto the Pathfinder and see which genes are connected by known interactions or pathways.
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BIOBASE products are available online or installed at your site. To request information on installation system requirements, click here.
To learn more about BKL TRANSFAC, our gene regulation database, and the ExPlain Analysis System, our award-winning gene expression analysis tool, click here.
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