2020
DOI: 10.1021/acs.jmedchem.9b01956
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The Medicinal Chemistry in the Era of Machines and Automation: Recent Advances in Continuous Flow Technology

Abstract: Medicinal chemistry plays a fundamental and underlying role in chemical biology, pharmacology, and medicine to discover safe and efficacious drugs. Small molecule medicinal chemistry relies on iterative learning cycles composed of compound design, synthesis, testing, and data analysis to provide new chemical probes and lead compounds for novel and druggable targets. Using traditional approaches, the time from hypothesis to obtaining the results can be protracted, thus limiting the number of compounds that can … Show more

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Cited by 113 publications
(73 citation statements)
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References 129 publications
(227 reference statements)
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“…Today, a variety of analytical techniques, tools and sensors for flow devices are available and applicable. 214 Among them, online high performance liquid chromatography (HPLC) is one of the most widely used analytical methods, which is easy to understand due to its high versatility and short implementation time. Other monitoring techniques being frequently used are real-time gas chromatography (GC) and mass spectroscopy (MS).…”
Section: Online Analyticsmentioning
confidence: 99%
“…Today, a variety of analytical techniques, tools and sensors for flow devices are available and applicable. 214 Among them, online high performance liquid chromatography (HPLC) is one of the most widely used analytical methods, which is easy to understand due to its high versatility and short implementation time. Other monitoring techniques being frequently used are real-time gas chromatography (GC) and mass spectroscopy (MS).…”
Section: Online Analyticsmentioning
confidence: 99%
“…Whereas ML does not require in-depth knowledge, provided a sufficient amount of data is available. Moreover, ML provides the opportunity for continuous processes, which has the potential to achieve intelligent 3DP automation [264,265]. Nevertheless, there is an opportunity for existing DoE, FEA and mechanistic modellers to exploit ML to further enrich their research.…”
Section: Machine Learning Vs Non-ml Techniquesmentioning
confidence: 99%
“…This MPS device recreated an air–liquid interface, giving component cells a physiologically accurate microenvironment [ 115 ]. While pumpless and pump-driven microfluidics in MPS devices inherently simplify the bottleneck steps of liquid handling, integrating MPS with recent advances in automated liquid handling and continuous flow can further enhance throughput [ 166 168 ], as well as facilitate biocontainment for studying viral disease [ 138 ].…”
Section: Current Challenges and Future Perspectivesmentioning
confidence: 99%