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EAI-TupletScore, a pharmacophore and shape driven ligand-based de-novo design algorithm
Chemistry Central Journal volume 3, Article number: P29 (2009)
We describe a ligand-based de-novo design algorithm EAI-TupletScore and studies that demonstrate its ability to successfully generate lead hops between different classes of active ligands from the DUD dataset . EAI-TupletScore uses the de-novo design engine EA-Inventor with a Pareto-Borda  scoring method that employs pharmacophore and steric tuplets , as well as UNITY fingerprint similarities to a set of lead compounds to design novel ligands that maximize pharmacophore and shape similarity, while maintaining a certain level of structural dissimilarity, to these lead compounds. EAI-TupletScore, can be used to design novel ligand scaffolds (lead generation or lead hopping) or to optimize attachments on a fixed scaffold (lead optimization).
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Smith, K., Masek, B., Clark, R. et al. EAI-TupletScore, a pharmacophore and shape driven ligand-based de-novo design algorithm. Chemistry Central Journal 3, P29 (2009). https://doi.org/10.1186/1752-153X-3-S1-P29
- Shape Similarity
- Design Algorithm
- Lead Compound
- Active Ligand
- Lead Optimization