MFline® summarizes experimental pharmacological data from in vitro and in vivo animal studies that delineate the chemical interactions between drugs and receptors, enzymes and target cells, and which characterize drug actions, thus providing the basis for rationalizing drug design.

The MFline® database cites IC50, EC50, Ki, ED50, MIC50/90, LD50, pA2, CC50, pKb and other values for more than 7,000 drugs currently on the market or in development.

Information is selected from heterogeneous, peer-reviewed data sources.

MFline® runs on personal computers under the Windows® 95, 98 or NT (v. 3.51 or higher) platforms. No additional software is required to search on information from the text and data fields of MFline®; for chemical structure searching, users must have the CS ChemDrawTM v. 5.0 and CS ChemFinderTM Pro v. 5.0 software sold separately by CambridgeSoft Corporation* installed on their computer.

• Values are presented in standardized units for each parameter allowing easy comparison of results from different experimental models (diverse materials and methods)
• Display individual or mean values for each pharmacological activity, parameter, material and method used
• Customizable tables for displaying and sorting data
• Full reference citation provided for each datum in the database; references can be viewed individually for each value or as a complete set for the hits retrieved
• Data are fully exportable to popular spreadsheet applications for integration with in-house data
• "Bookmark" only those data you wish to export or print
• Attractive report formats

The MFline® CD-ROM is updated every two months.

Use MFline® to:

• Identify the most active compounds for a specific pharmacological activity.
• Test the specificity of a drug (low/no activity in other tests).
• Report the general pharmacology of a drug.
• Check models (tissues/methods) useful to assess a pharmacological activity.
• Compare the results from a new compound with those of standard agents.
• Review the state of the art in specific fields in pharmacology.
• Identify current pharmacological targets.
• Correlate results from in vitro tests with in vivo assays.
• Correlate molecular structures with specific pharmacological results.