Using molecular features to generate predictive models for Nuclear Receptors
What is it about?
In this study we have used the Ligand Activity by Surface Similarity Order (LASSO) method, a ligand-based virtual screening strategy, to derive structural (surface/shape) molecular features used to generate predictive models of biomolecular activity for Nuclear Receptors.
Why is it important?
The application of the LASSO algorithm has proven to be a fast and efficient approach to identify structural molecular features to generate predictive models
The following have contributed to this page: Dr Antony John Williams and Dr Sean Ekins
In partnership with: