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Relations between Effects and Structure of Small Bicyclic Molecules on the Complex Model System Saccharomyces cerevisiae

Authors: BRILLI, MATTEO; TRABOCCHI, ANDREA; Weil, Tobias; CAVALIERI, DUCCIO; STEFANINI, IRENE;

Relations between Effects and Structure of Small Bicyclic Molecules on the Complex Model System Saccharomyces cerevisiae

Abstract

The development of compounds able to modify biological functions largely took advantage of parallel synthesis to generate a broad chemical variance of compounds to be tested for the desired effect(s). The budding yeast Saccharomyces cerevisiae is a model for pharmacological studies since a long time as it represents a relatively simple system to explore the relations among chemical variance and bioactivity. To identify relations between the chemical features of the molecules and their activity, we delved into the effects of a library of small compounds on the viability of a set of S. cerevisiae strains. Thanks to the high degree of chemical diversity of the tested compounds and to the measured effect on the yeast growth rate, we were able to scale-down the chemical library and to gain information on the most effective structures at the substituent level. Our results represent a valuable source for the selection, rational design, and optimization of bioactive compounds.

Country
Italy
Keywords

Drug development; Drug screening; High-throughput screening (HTS); Phenotypic screening; Principal component analysis; Saccharomyces cerevisiae; Small compounds; Stepwise regression analysis; Pharmacology; Pharmacology (medical), 570, RM, Phenotypic screening, principal component analysis, Principal component analysis, Drug development, Saccharomyces cerevisiae, Drug development; Drug screening; High-throughput screening (HTS); Phenotypic screening; Principal component analysis; Saccharomyces cerevisiae; Small compounds; Stepwise regression analysis, High-throughput screening (HTS), Small compounds, high-throughput screening (HTS), drug screening, Pharmacology, small compounds, phenotypic screening, QK, Settore BIO/15 - BIOLOGIA FARMACEUTICA, 540, drug development, stepwise regression analysis, Drug screening, Stepwise regression analysis

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
Green
gold