Science · 2018 · 208 citations · 32 references
PharmacyChemical EngineeringChemistryComputational ChemistryDrug DiscoveryMass Spectrometric AnalysisChemical Space ExplorationHigh-throughput SynthesisMass SpectrometryChemical Synthesis PlanningComputational Synthesis PlanningHeterogeneous Chemical ReactionsHigh-throughput Reaction AnalysisHigh-throughput Reaction ScreeningMaldi-tof Mass SpectrometryReactivityScope
Understanding the practical limitations of chemical reactions is critically important for efficiently planning the synthesis of compounds in pharmaceutical, agrochemical, and specialty chemical research and development. However, literature reports of the scope of new reactions are often cursory and biased toward successful results, severely limiting the ability to predict reaction outcomes for untested substrates. We herein illustrate strategies for carrying out large-scale surveys of chemical reactivity by using a material-sparing nanomole-scale automated synthesis platform with greatly expanded synthetic scope combined with ultrahigh-throughput matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS).
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Predicting reaction performance in C–N cross-coupling using machine learning
Derek T. Ahneman, Jesús G. Estrada, Shishi Lin et al. · Science · 2018 · 1.1K citations
Prediction of Organic Reaction Outcomes Using Machine Learning
Connor W. Coley, Regina Barzilay, Tommi Jaakkola et al. · ACS Central Science · 2017 · 823 citations · Full text
Nanomole-scale high-throughput chemistry for the synthesis of complex molecules
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