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