PharmaDM has developed Data Mining solutions that allow drug discovery researchers to:

1. extract proprietary knowledge from proprietary and public biological, chemical and clinical data- in whatever form- using a wholly integrated approach, through unique relational data mining software

2. incorporate evidence from images and scientific literature into the knowledge extraction process

3. explore data in a variety of ways such as:

• classification
• regression
• clustering
• summarisation
• frequent pattern discovery
• visualisation

Application areas include:

• validation of drug targets
• better understanding of gene expression profiles
• prediction of gene function (independent of homology)
• prediction of active molecule structures (SAR)
• optimization of lead molecules (bioavailability, distribution, etc..)
• prediction of toxicity
• optimization of chemical synthesis routes
• identification of epitopes

Key benefits:

• No more need for data reduction
• Truly integrated analysis
• Extraction of comprehensible rules
• Automatic exhaustive hypothesis generation

And as a consequence:

• shortening the complete drug discovery process
• optimising drug pipelines
• enhancing the patent value of new products through extended protected lives