The data set should contain structures and have had a scoring profile applied. This enables molecules to be selected that have the best possible balance between performance against the scoring profile and structural diversity. In this case the user can determine the bias between 'Rank' and 'Diversity'.
- Overcoming psychological barriers to good decision-making in drug discovery by Matt Segall
- Preprint: Applying Med Chem Transformations and MPO to Guide the Search for High Quality Leads and Candidates by Matt Segall
- Multi-parameter Optimisation in Drug Discovery: Quickly targeting compounds with a good balance of properties by Matt Segall
- StarDrop Reviewed on Macs in Chemistry Website in Optibrium News & Announcements by Matt Segall
- Announcing StarDrop 5.2 at ACS in Optibrium News & Announcements by Matt Segall
- New Editorial in IPI Journal in Optibrium News & Announcements by Matt Segall
- StarDrop Toxicity Models by Matt Segall
- StarVue by Ed Champness
- Lipophilicity Efficiency by Ed Champness
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Optibrium™, StarDrop™, StarVue™, Glowing Molecule™ Auto-Modeller™ and Nova™ are trademarks of Optibrium Ltd.
Optibrium™, StarDrop™, StarVue™, Glowing Molecule™ Auto-Modeller™ and Nova™ are trademarks of Optibrium Ltd.
