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Enregistrement W6996886319

Targeting antibiotic resistance through a versatile pantetheine scaffold: pantetheine derivatives as AAC(6')-Ii resistance inhibitors and novel pantothenamide antibacterial agents

2013· dissertation· en· W6996886319 sur OpenAlexfundno aff

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2013
Typedissertation
Langueen
DomaineNeuroscience
ThématiqueNeurological diseases and metabolism
Établissements canadiensnon disponible
Organismes subventionnairesCanadian Institutes of Health ResearchMcGill University
Mots-clésAminoglycosideEnzymeMoietyAntibioticsLipid IIMechanism of actionAntibiotic resistanceAntibacterial agent
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Aminoglycosides are broad-spectrum antibiotics used in the treatment of serious infections. With the rapid emergence and spread of antibiotic resistance, their therapeutic use is becoming increasingly threatened. The most common mechanism of aminoglycoside resistance is the expression of aminoglycoside-modifying enzymes (AMEs). Aminoglycoside 6'-N-acetyltransferase-Ii (AAC(6')-Ii) is a chromosomally-encoded enzyme in Enterococcus faecium, which transfers an acetyl group from AcCoA to the 6'-NH2 of aminoglycosides. Many inhibitors of this enzyme have been reported by the Auclair group. Initially, bisubstrate inhibitors containing aminoglycoside and CoA moieties were generated, which were nanomolar inhibitors of AAC(6')-Ii, and served as useful structural and mechanistic probes. However, the presence of negatively charged phosphate groups precluded their membrane permeation and thus a second generation of truncated bisubstrate inhibitors was subsequently reported. It was demonstrated that the diphosphate group could effectively be mimicked by an acetoacetate moiety to afford a "lead" compound which was shown to be the first inhibitor active in cells, albeit at reduced activity over the bisubstrates. The work presented in this thesis encompasses a multi-faceted approach to targeting aminoglycoside resistance through 1) the inhibition of AAC(6')-Ii; and 2) the development of a novel class of antibacterial agents. A medicinal chemistry approach was used to improve the potency of the "lead" compound inhibitor through the insertion of alternative diphosphate mimics such as a squarate ester or an acetylsulfamate. As described in Chapter 2, we hoped this would improve upon the stability of the acetoacetate group, while maintaining key hydrogen-bonding interactions to the enzyme. The synthesis of these molecules however, proved more challenging than expected, and efforts were instead focused on the work described in subsequent chapters. In Chapter 3, a rigidification strategy was employed to improve the affinity of the lead molecule for AAC(6')-Ii by reducing the entropic cost of binding. Rigidified, triazole-containing derivatives were found to have a positive effect on the affinity of inhibitors for AAC(6')-Ii, and showed comparable in-cell activity to that of the lead. Next, Chapter 4 describes the use of a previously established prodrug strategy which capitalizes on the CoA biosynthetic pathway in order to extend aminoglycoside-pantetheine derivatives into potent bisubstrate inhibitors in cells. The effect of rigidification on the activity of the prodrugs was investigated. These compounds were not active in cells, which resulted from their poor in-cell extension. Finally, pantothenamide derivatives were synthesized and tested as reported in Chapter 5. Pantothenamides constitute a promising class of antibacterial agents, which has recently gained much attention. The molecules are extended by the CoA biosynthetic enzymes into inhibitors of downstream effector proteins. Chapter 5 reports the synthesis and biological activity of novel pantothenamides which were generated as part of a large-scale study. Although the molecules reported in this thesis were not the most active of the series, the results contribute to important SARs and provide a better understanding of the selectivity of PanK, the first, and rate-limiting step of CoA biosynthesis. Contributions and experimental methods comprise the final chapters of this thesis.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,260
Écart entre enseignants0,235 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreMéthodes

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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