The ChemEffect knowledgebase links published information on small molecules, chemicals, and approved drugs to their effects on biological systems, such as proteins, pathways, and cellular processes.  This information helps scientists profile their drug candidates against known side effects by toxicity and compound type, find metabolizing enzymes, determine associations between toxicities and drug mechanism of action, and seek alternative indications.

ChemEffect comes with MedScan® text mining module that lets you extract information from literature, including your internal documents, to augment the database and to develop a focused data resource for use with Pathway Studio®.

ChemEffect is designed to be added to Ariadne's ResNet® Mammalian Database and combined, they deliver a highly-accurate and comprehensive resource of over 1,200,000 biological interactions derived from published research to serve as a powerful investigative tool to advance your discovery through interactive, interpretative pathways.

Applications include:

• Developing mechanism of toxicity or drug action hypotheses,
• Identifying potential alternative drug indications,
• Correlating drug action with potential side effects, and
• Deducing drug-drug interactions.
  

With ChemEffect, detailed queries and address issues including those listed below can be completed quickly:

• Identifying alternative diseases linked to pathways associated with drug candidates,
• Finding compounds affecting target pathway(s) or proteins,
• Finding protein targets affected by compounds similar to onesthose under your investigation,
• Surveying known side effects associated with compounds, and
• Building hypothetical associations between a compound and its potential outcomes such as efficacy, toxicity and drug-drug interaction.

• Compound-centric database containing definitions (entities) for genes, proteins, miRNA, small molecules, cellular processes, functional classes, protein complexes, and disease,
• Entities include identifiers with active links to major reference sources including Entrez Gene, PubChem, Ensembl, Homologene, Hugo, IPI, SwissProt, Unigene, ChemID Plus (NLM), ChEBI, and OMIM.
• Hundreds of thousands of biological relationships between compounds and proteins, genes, disease, cellular processes indicating regulation, expression, transport, synthesis, binding, and protein modification.   Relationships include effect (positive / negative) where available.  Each reference includes links to the underlying abstract / full-text article, and sentence which substantiates the relationship, up to 100 shown.
• Expertly curated pathways categorized into "General Mechanism of Toxicity," and "Drug Toxicity Pathways" to supplement the vast pathway collection in the basic ResNet Database.  Pathways can be used for visual reference, as building-blocks to support your research, or for analytical workflows including Gene Set Enrichment Analysis.

ResNet® Mammalian database includes Ariadne’s proprietary protein ontology which optimizes the analysis results by organizing genes with well-defined cellular and molecular characterizations into a flattened concise ontology. Ariadne additionally provides curated signaling and cellular process regulation pathway collection which can be used for reference, or as components to develop your own disease or mechanistic models.

You can build upon Ariadne’s pathways with Pathway Studio Software tools using data from ResNet and ChemEffect databases, or by adding information from recently published or internal texts and experimental data using MedScan Technology.

To learn more, please select product collateral to download and review. Registration may be required.

 Please register to evaluate Pathway Studio; you can also attend our weekly web demonstrations to learn more.

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