We are delighted to announce the formation of a consortium consisting of AstraZeneca Plc, Hoffman La Roche, Genentech and MedChemica. Using Matched Molecular Pair Analysis will be processing data from all companies to yield the SALT Knowledge Share system to generate a Grand Rule Database of Medicinal Chemistry Knowledge. We will make this available for drug discovery

Dr Ed Griffen presents Knowledge Based Design using Matched Molecular Pair Analysis for Multiple Parallel Optimisation in Drug Discovery at both European and Japanese OpenEye User Group meetings in June 2013. His slide set can be found here on slideshare  

MedChemica are delighted to announce the online publication of "Matched Molecular Pair Analysis in Drug Discovery". Abstract - Multiple parameter optimisation in drug discovery is difficult, but Matched Molecular Pair Analysis (MMPA) can help. Computer algorithms can process data in an unbiased way to yield design rules and suggest better molecules, cutting the number of

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