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Angewandte Chemie
Article . 2023 . Peer-reviewed
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Angewandte Chemie International Edition
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https://dx.doi.org/10.22028/d2...
Article . 2024
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Clean Synthetic Strategies to Biologically Active Molecules from Lignin: A Green Path to Drug Discovery**

A Green Path to Drug Discovery**
Authors: Anastasiia M. Afanasenko; Xianyuan Wu; Alessandra De Santi; Walid A. M. Elgaher; Andreas M. Kany; Roya Shafiei; Marie‐Sophie Schulze; +4 Authors

Clean Synthetic Strategies to Biologically Active Molecules from Lignin: A Green Path to Drug Discovery**

Abstract

AbstractDeriving active pharmaceutical agents from renewable resources is crucial to increasing the economic feasibility of modern biorefineries and promises to alleviate critical supply‐chain dependencies in pharma manufacturing. Our multidisciplinary approach combines research in lignin‐first biorefining, sustainable catalysis, and alternative solvents with bioactivity screening, an in vivo efficacy study, and a structural‐similarity search. The resulting sustainable path to novel anti‐infective, anti‐inflammatory, and anticancer molecules enabled the rapid identification of frontrunners for key therapeutic indications, including an anti‐infective against the priority pathogen Streptococcus pneumoniae with efficacy in vivo and promising plasma and metabolic stability. Our catalytic methods provided straightforward access, inspired by the innate structural features of lignin, to synthetically challenging biologically active molecules with the core structure of dopamine, namely, tetrahydroisoquinolines, quinazolinones, 3‐arylindoles and the natural product tetrahydropapaveroline. Our diverse array of atom‐economic transformations produces only harmless side products and uses benign reaction media, such as tunable deep eutectic solvents for modulating reactivity in challenging cyclization steps.

Country
Germany
Keywords

ddc:500, Green Chemistry, Tunable Deep Eutectic Solvents, Dopamine, Drug Discovery, Solvents, 500, Biomass, Lignin, Catalysis

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Average
Top 10%