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Synlett
Article
Data sources: UnpayWall
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Synlett
Article . 2018
License: taverne
Synlett
Article . 2018 . Peer-reviewed
Data sources: Crossref
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Artificial Macrocycles

Authors: Abdelraheem; Eman M. M.; Shaabani; Shabnam; Domling; Alexander;
Abstract

Artificial macrocycles recently became popular as a novel research field in drug discovery. As opposed to their natural twins, artificial macrocycles promise to have better control on synthesizability and control over their physicochemical properties resulting in druglike properties. Very few synthetic methods allow for the convergent, fast but diverse access to large macrocycles chemical space. One synthetic technology to access artificial macrocycles with potential biological activity, multicomponent reactions, is reviewed here, with a focus on our own work. We believe that synthetic chemists have to acquaint themselves more with structure and activity to leverage the design aspect of their daily work.1 Introduction2 Macrocycle Properties and Receptor Binding3 Synthetic Approaches towards Artificial Macrocycles Using MCR4 Design Rules for Membrane Crossing Macrocycles5 Design Rules for Libraries of Macrocycles6 Computational Macrocyclic Methods7 Future View

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Keywords

convergence, multicomponent reaction, adult, receptor binding, article, library, biological activity, druglike properties, bioactivity, physical chemistry, controlled study, macrocyclic compound, human, bioavailability, macrocycle, property space, membrane, synthetic pathway

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    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.
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    influence
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Powered by OpenAIRE graph
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!
25
Top 10%
Top 10%
Top 10%
hybrid