David Buttar

Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies

Kjell Jorner, Tore Brinck, Per‐Ola Norrby et al. · Chemical Science · 2020 · 190 citations · Full text

Natural Sciences, Chemical Engineering, Chemistry +17

AZD9496: An Oral Estrogen Receptor Inhibitor That Blocks the Growth of ER-Positive and <i>ESR1</i> -Mutant Breast Tumors in Preclinical Models

Hazel M. Weir, Robert H. Bradbury, Mandy Lawson et al. · Cancer Research · 2016 · 174 citations

Medicine, Oncology, Pharmacology +16

Optimization of a Novel Binding Motif to (<i>E</i>)-3-(3,5-Difluoro-4-((1<i>R</i>,3<i>R</i>)-2-(2-fluoro-2-methylpropyl)-3-methyl-2,3,4,9-tetrahydro-1<i>H</i>-pyrido[3,4-<i>b</i>]indol-1-yl)phenyl)acrylic Acid (AZD9496), a Potent and Orally Bioavailable Selective Estrogen Receptor Downregulator and Antagonist

Chris De Savi, Robert H. Bradbury, Alfred A. Rabow et al. · Journal of Medicinal Chemistry · 2015 · 160 citations · Full text

Pharmacy, Medicinal Chemistry, Pharmacology +17

Artificial intelligence and automation in computer aided synthesis planning

Amol Thakkar, Simon Johansson, Kjell Jorner et al. · Reaction Chemistry & Engineering · 2020 · 90 citations

Engineering, Computer Science, Manufacturing Engineering +11

Scaffold Hopping Using Clique Detection Applied to Reduced Graphs

Edward J. Barker, David Buttar, David A. Cosgrove et al. · Journal of Chemical Information and Modeling · 2006 · 87 citations

Pharmacy, Chemistry, Medicinal Chemistry +17