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Knowledge Based Design using Matched Molecular Pair Analysis for Multiple Parallel Optimisation in Drug Discovery

2017-11-06T16:28:48+00:00

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  

Knowledge Based Design using Matched Molecular Pair Analysis for Multiple Parallel Optimisation in Drug Discovery 2017-11-06T16:28:48+00:00

online publication of “Matched Molecular Pair Analysis in Drug Discovery”.

2017-11-06T16:29:45+00:00

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

online publication of “Matched Molecular Pair Analysis in Drug Discovery”. 2017-11-06T16:29:45+00:00
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