Accès ouvert
2025
article
OpenAlex
Seung Kyun Ha, Dipannita Kalyani, Michael S. West, Jessica A. Xu et autres
This manuscript presents machine learning models for Pd-catalyzed C–N couplings constructed using a large, pharmaceutically relevant, structurally diverse dataset (4204 unique products) generated de novo using high-throughput experimentation. The dataset generation was enabled by the discovery of novel nanomole scale compatible automation …
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Accès ouvert
2024
article
OpenAlex
Sriram Tyagarajan, Christine L. Andrews, Douglas C. Beshore, Alexei V. Buevich et autres
The science of drug discovery involves multiparameter optimization of molecular structures through iterative design-make-test cycles. For medicinal chemistry library synthesis, traditional workflows involve the isolation of each individual compound, gravimetric quantitation, and preparation of a standard concentration solution for biological assays. In …
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Accès ouvert
2024
article
OpenAlex
Dung L. Golden, Kaitlyn M Flynn, Santeri Aikonen, Christopher M Hanneman et autres
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Accès ouvert
2024
article
OpenAlex
Eric Webb, Kevin Cheng, Wade P. Winton, Brandon Klein et autres
Positron emission tomography is a widely used imaging platform for studying physiological processes. Despite the proliferation of modern synthetic methodologies for radiolabeling, the optimization of these reactions still primarily relies on inefficient one-factor-at-a-time approaches. High-throughput experimentation (HTE) has proven to be a …
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Accès ouvert
2024
article
OpenAlex
Michael Wleklinski, P Carpenter, Kevin D. Dykstra, Anthony E. Donofrio et autres
High-throughput experimentation (HTE) has become more widely utilized in drug discovery for rapid reaction optimization and generation of large synthetic compound arrays. While this has accelerated medicinal chemistry design, make, test (DMT) iterations, the bottleneck of purification persists, consuming time and resources. …
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2024
article
OpenAlex
Shane W. Krska, Bing Li, Sriram Tyagarajan, Kevin D. Dykstra et autres
Abstract The field of C–H functionalization chemistry has experienced rapid growth in the past twenty years, with increasingly powerful applications in organic synthesis. Recognizing the potential of this emerging field to impact drug discovery, a dedicated effort was established in our laboratories …
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Accès ouvert
2023
article
OpenAlex
Si-Jie Chen, Shane W. Krska, Shannon S. Stahl
Conspectus Cross-coupling methods are the most widely used synthetic methods in medicinal chemistry. Existing reactions are dominated by methods such as amide coupling and arylation reactions that form bonds to sp 2 -hybridized carbon atoms and contribute to the formation of “flat” …
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2023
article
OpenAlex
Adrian D. Matthews, Ellyn Peters, John S. Debenham, Qi Gao et autres
Synthesis of α-branched aryl amines is a continuing challenge in synthetic and medicinal chemistry. Although transition-metal-promoted C–N cross-coupling is a desirable approach to the synthesis of α-branched aryl amines, there are limited examples of methods that demonstrate broad generality and applicability using …
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2023
article
OpenAlex
Eric Webb, Kevin Cheng, Stefan Verhoog, Dipannita Kalyani et autres
Accès ouvert
2023
article
OpenAlex
Soham Maity, Marco A. Lopez, Desiree M. Bates, Shishi Lin et autres
-H) functionalization and cross-coupling. The existing methods, however, are often ineffective with heterobenzylic C-H bonds in alkyl-substituted pyridines and related aromatic heterocycles that are prominently featured in pharmaceuticals and agrochemicals. Here, we report new synthetic methods that leverage polar, rather than radical, …
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Accès ouvert
2023
article
OpenAlex
Rachel K. Chambers, J. D. III WEAVER, Jinho Kim, Jason L. Hoar et autres
An emerging trend in small-molecule pharmaceuticals, generally composed of nitrogen heterocycles ( N -heterocycles), is the incorporation of aliphatic fragments. Derivatization of the aliphatic fragments to improve drug properties or identify metabolites often requires lengthy de novo syntheses. Cytochrome P450 (CYP450) enzymes …
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Accès ouvert
2023
article
OpenAlex
Si-Jie Chen, Cyndi Qixin He, May Kong, Jun Wang et autres
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