2021
DOI: 10.1021/acs.accounts.1c00119
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Ultrahigh-Throughput Experimentation for Information-Rich Chemical Synthesis

Abstract: Metrics & MoreArticle Recommendations CONSPECTUS:The incorporation of data science is revolutionizing organic chemistry. It is becoming increasingly possible to predict reaction outcomes with accuracy, computationally plan new retrosynthetic routes to complex molecules, and design molecules with sophisticated functions. Critical to these developments has been statistical analysis of reaction data, for instance with machine learning, yet there is very little reaction data available upon which to build models. R… Show more

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Cited by 51 publications
(35 citation statements)
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“…This combinatorial chemistry and high-throughput screening paradigm was often blamed for a decline in productivity in the pharmaceutical industry, and yet it became a valuable research tool whose relevance is underlined by the commercial availability of mature XYZ Gantry (Chemspeed, Tecan) and ultralow-volume pipetting platforms (Mosquito). In recent years, we have observed a renaissance in the use of massively parallel, miniaturized ultrahigh-throughput experimentation , combined with design of experiments (DoE) and other screening techniques applied to these reactors for discovering and optimizing novel reactivity, properties and even bioactivity, though not necessarily isolation procedures . These reactors, usually based on 96-, 384-, or 1536-well plate type designs, and allow hundreds of reactions to be run at once under the same process conditions .…”
Section: Automation Of Chemistrymentioning
confidence: 99%
“…This combinatorial chemistry and high-throughput screening paradigm was often blamed for a decline in productivity in the pharmaceutical industry, and yet it became a valuable research tool whose relevance is underlined by the commercial availability of mature XYZ Gantry (Chemspeed, Tecan) and ultralow-volume pipetting platforms (Mosquito). In recent years, we have observed a renaissance in the use of massively parallel, miniaturized ultrahigh-throughput experimentation , combined with design of experiments (DoE) and other screening techniques applied to these reactors for discovering and optimizing novel reactivity, properties and even bioactivity, though not necessarily isolation procedures . These reactors, usually based on 96-, 384-, or 1536-well plate type designs, and allow hundreds of reactions to be run at once under the same process conditions .…”
Section: Automation Of Chemistrymentioning
confidence: 99%
“…Emerging approaches in reactivity prediction that combine high-throughput experimentation [8][9][10][11][12][13][14] with molecular descriptor sets [15][16][17][18][19][20][21][22][23][24] and multivariate statistical analysis including machine learning [25][26][27][28][29][30][31][32][33][34] can accelerate the screening/optimization process and increase success rates; however, predictions generated by these approaches are oen limited to the specic reaction under investigation. Developing and rening the next generation of organic chemistry tools, including computer-aided synthesis design, automated reaction optimization, and predictive algorithms, 35 requires the development of general and quantitative frameworks that rapidly link molecular structure to reactivity for many different reactants and catalysts.…”
Section: Introductionmentioning
confidence: 99%
“…High-throughput experimentation (HTE) has emerged as a time-and material efficient technique for producing large amounts of chemical reaction data [5,6]. HTE is thus a reasonable approach to yield datasets for CASP, which requires large training sets.…”
Section: Introductionmentioning
confidence: 99%