Data-powered insights for optimised drug discovery and development
At every stage of the drug discovery process, we leverage the power of our life science database (LSDB) to support your project progress:
Hit identification stage:
- Enhance high-throughput screening by evaluating hits for favourable properties – whether experimentally measured or predicted using our machine learning models – and analysing historical bioactivity profiles.
- Conduct data mining and virtual screening to identify and profile hits against specific pharmacological targets.
Lead optimisation stage: Apply data-driven SAR and scaffold hopping techniques to optimise efficacy, selectivity and pharmacokinetic properties.
Preclinical development stage: Use predictive models trained on historical data to forecast ADME endpoints.
Additionally, we offer custom services to curate and annotate your project data, to help ensure a seamless transition. By utilising state-of-the-art tools and platforms, we maximise insight from chemical structures and biological activity data. Our data services are designed to reduce the cost and time required at each stage of drug development, accelerating your project’s path to success.
