Today’s Pharmaceutical and Biotechnology
companies face ever increasing pressure to bring drugs to market
faster. The imperative is the accelerated production of higher quality
clinical candidates, less vulnerable to expensive late stage failure.
Addressing these challenges requires high-throughput approaches to
accelerate the process of hit identification, hits to leads, and lead
optimization, the latter through iterative cycles of design, synthesis
and testing. Modern drug discovery methods are data intensive and their
use demands effective means to turn this sea of data into knowledge
capable of guiding the next steps in drug discovery.
The objectives of BioPredict are:
- To develop mathematical and
computational methods, and software tools to facilitate the drug
- To actively apply computational
platform technologies and methods to internal drug discovery
- To augment the success of client
companies drug discovery programs.