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Tim Cernak

Researcher at University of Michigan

Publications -  52
Citations -  3398

Tim Cernak is an academic researcher from University of Michigan. The author has contributed to research in topics: Computer science & Chemistry. The author has an hindex of 16, co-authored 42 publications receiving 2412 citations. Previous affiliations of Tim Cernak include Columbia University & Merck & Co..

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The medicinal chemist's toolbox for late stage functionalization of drug-like molecules

TL;DR: This review details a toolbox of intermolecular C-H functionalization chemistries with proven applicability to drug-like molecules, classified by regioselectivity patterns, and gives guidance on how to systematically develop LSF strategies using these patterns and other considerations.
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Profound methyl effects in drug discovery and a call for new C-H methylation reactions.

TL;DR: This Review focuses on so-called magic methyl effects on binding potency, where the seemingly mundane change of C�H to CMe improves the IC50 value of a drug candidate more than 100-fold.
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Nanomole-scale high-throughput chemistry for the synthesis of complex molecules

TL;DR: An automated dosing and characterization protocol for optimizing chemical reaction conditions on the microgram scale is presented, which allowed them to screen numerous base and ligand combinations for catalytic C-N bond-forming reactions between complex pairs of compounds, in short supply, that resisted standard coupling conditions.
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Chemistry informer libraries: a chemoinformatics enabled approach to evaluate and advance synthetic methods

TL;DR: A standardized complex molecule diagnostic approach using collections of relevant drug-like molecules which are called chemistry informer libraries are reported.
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Ausgeprägte Methyleffekte in der Wirkstoff‐Forschung und der Bedarf an neuen C‐H‐Methylierungsreaktionen

TL;DR: In this paper, aufsatzes bildet der so genannte magische Methyleffekt auf das Bindungsvermogen, bei dem der scheinbar banale Wechsel von der C-H- zur C-Me-Gruppe den IC50-Wert eines potenziellen Wirkstoffs um mehr als das 100fache verbessert.