Incorporating small
modifications to peptidic macrocycles can have
a major influence on their properties. For instance, N-methylation
has been shown to impact permeability. A better understanding of the
relationship between permeability and structure is of key importance
as peptidic drugs are often associated with unfavorable pharmacokinetic
profiles. Starting from a semipeptidic macrocycle backbone composed
of a tripeptide tethered head-to-tail with an alkyl linker, we investigated
two small changes: peptide-to-peptoid substitution and various methyl
placements on the nonpeptidic linker. Implementing these changes in
parallel, we created a collection of 36 compounds. Their permeability
was then assessed in parallel artificial membrane permeability assay
(PAMPA) and Caco-2 assays. Our results show a systematic improvement
in permeability associated with one peptoid position in the cycle,
while the influence of methyl substitution varies on a case-by-case
basis. Using a combination of molecular dynamics simulations and NMR
measurements, we offer hypotheses to explain such behavior.
Cyclic octadepsipeptides such as PF1022A and its synthetic derivative emodepside exhibit anthelmintic activity with the latter sold as a commercial drug treatment against gastrointestinal nematodes for animal health use. The...
Proteins with large and flat binding sites as well as protein–protein interactions are considered ' undruggable ' with conventional small-molecule drugs. Cyclic peptides have been found to be capable of binding to such targets with high affinity, making this class of compounds
an interesting source for possible therapeutics. However, the oftentimes poor passive membrane permeability of cyclic peptides still imposes restrictions on the applicability of cyclic peptide drugs. Here, we describe how computational methods in combination with experimental data can be used
to improve our understanding of the structure–permeability relationship. Especially the conformational dynamic and chameleonic nature of cyclic peptides, which we investigate by a combination of MD simulations and kinetic modeling, is important for their ability to permeate passively
through the membrane. The insights from such studies may enable the formulation of design principles for the rational design of permeable cyclic peptides.
1H and 13C chemical shifts of 35 small, rigid molecules were measured under standardized conditions in chloroform-d and in tetrachloromethane. The solvent change mainly affects carbon shifts of polar functional...
MethodsWe profiled the metabolome using mass spectrometry in yeast strains that have lost telomerase expression, as well as that in pre-senescence and the rescued states. To dissect unwanted technical variation from biologically relevant variation between these states, we used a two-step normalization strategy, i.e., first, an empirical Bayesian framework; and next, we corrected for secondorder technical effects. Results Our results show that ALT-positive yeast strains present two different types of metabolic responses to the genetically-induced telomerase dysfunction: (i) systemic and (ii) specific. The key-difference between these responses is that the systemic response lasts even after the yeast strains have been genetically rescued, while the specific response does not. Interestingly, these metabolic changes can be associated with generic stress responses (e.g., DNA damage) as well as specific responses like accelerated aging of early telomerase-inactivation. Conclusions A mass spectrometry-based metabolomics approach reveals two distinct types of metabolomics response to telomerase dysfunction in yeast. By identifying these changes in protein (e.g., ARG7, and ARG1), and metabolite (e.g., dATP, and dDTP) amounts, we complement the available information on ALT at the genome-wide level.
KeywordsAlternative lengthening of telomeres (ALT) • Untargeted-metabolomics • Remove unwanted variation (RUV) • Principal component analysis (PCA) • Differential partial correlation analysis (DCA)
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