Ed Griffen

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Highly experienced, energetic, creative medicinal chemist. • Delivered design successes against potency, selectivity & pharmacokinetic issues with a particular strength in lead generation. • Expert practitioner of data-driven, hypothesis based design. • Experience of working in very wide range of target classes in Oncology, Infection and CNS/Pain. • Lead chemist on 10 projects over 17 years. • Experienced at international working with Swedish, North-American, Indian and Chinese colleagues. Skilled in: • Ligand-based, structure-based and fragment-based design. • Screening design and work up (full HTS, directed screens & libraries, phenotypic screening). • Innovator in computational medi...

medicinal chemistry mmpa toxicology ai interpretable ai drug discovery big data qsar admet medchemica machine learning pharmacokinetics computational chemistry cheminformatics potency toxophore ibsa sar matched molecular pairs dmpk pharmacophore pharmcophore

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Aktuellste Beliebteste SlideShares

MedChemica Levinthal Lecture at Openeye CUP XX 2020

Vor 4 Jahren • 390 Aufrufe

Accelerating lead optimisation with active learning by exploiting MMPA based ADMET knowledge with regression forest potency models

Vor 4 Jahren • 185 Aufrufe

Ed Griffen

MedChemica Levinthal Lecture at Openeye CUP XX 2020

Accelerating lead optimisation with active learning by exploiting MMPA based ADMET knowledge with regression forest potency models

Griffen MedChemica Virtual Tox Panel

RSC Hatfield 2018 Kinase meeting : potency patents MMPA approaches

MedChemica Large scale analysis and sharing of Medicinal chemistry Knowledge poster

Pharmacophore extraction from Matched Molecular Pair Analysis