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1.
Faraday Discuss ; 252(0): 279-294, 2024 Sep 11.
Artigo em Inglês | MEDLINE | ID: mdl-38842386

RESUMO

Biocatalysis is becoming a powerful and sustainable alternative for asymmetric catalysis. However, enzymes are often restricted to metabolic and less complex reactivities. This can be addressed by protein engineering, such as incorporating new-to-nature functional groups into proteins through the so-called expansion of the genetic code to produce artificial enzymes. Selecting a suitable protein scaffold is a challenging task that plays a key role in designing artificial enzymes. In this work, we explored different protein scaffolds for an abiological model of iminium-ion catalysis, Michael addition of nitromethane into E-cinnamaldehyde. We studied scaffolds looking for open hydrophobic pockets and enzymes with described binding sites for the targeted substrate. The proteins were expressed and variants harboring functional amine groups - lysine, p-aminophenylalanine, or N6-(D-prolyl)-L-lysine - were analyzed for the model reaction. Among the newly identified scaffolds, a thermophilic ene-reductase from Thermoanaerobacter pseudethanolicus was shown to be the most promising biomolecular scaffold for this reaction.


Assuntos
Biocatálise , Iminas , Iminas/química , Iminas/metabolismo , Engenharia de Proteínas , Thermoanaerobacter/enzimologia , Acroleína/química , Acroleína/análogos & derivados , Acroleína/metabolismo , Modelos Moleculares
2.
Patient ; 14(3): 331-338, 2021 05.
Artigo em Inglês | MEDLINE | ID: mdl-33748930

RESUMO

INTRODUCTION: One of the challenges faced by hospitals during the coronavirus disease 2019 (COVID-19) pandemic is resource shortages in intensive care units (ICUs). In times of scarcity, patient prioritization based on non-medical considerations might be necessary. OBJECTIVE: The aim of this study was to pilot test a survey to elicit public opinions on the relative importance of non-medical considerations in priority setting when admitting patients to the ICU in times of crisis. METHODS: A discrete-choice experiment was used to collect social preferences for priority setting when admitting patients to the ICU during the COVID-19 pandemic. The six attributes were patient age, profession, guardianship, risk-conscious behavior on a societal level, health-conscious behavior, and expected ICU length of stay. The data were analyzed using a mixed multinomial logit model. Interactions between the age and profession of the respondents and the age and profession of the patient profiles were considered. RESULTS: The mean (± standard deviation) age of respondents was 35.9 ± 14.5 years. In all, 70% of respondents indicated that medical and/or non-medical considerations should play a role in prioritizing patients for the ICU, whereas 15% agreed with a "first come, first served" strategy and the remaining 15% had no opinion. Respondents deemed risk-conscious behavior on a societal level to be the most important non-medical factor that should be used to prioritize patients in phase three of the framework, garnering an attribute importance (AI) of 31.2%, followed by patient age (AI 16.3%) and health-conscious behavior (AI 16.0%). ICU length of stay had the lowest impact on patient prioritization for ICU admittance (AI 10.9%). Younger and older respondents attached more importance to age than respondents in the middle age group and indicated a stronger preference to prioritize patients in their own age group (p = 0.042). CONCLUSION: The results of our study demonstrate the relative importance members of the public attach to responsible societal behavior during the COVID-19 pandemic. In the next phase of the study, we will elicit the perspectives of a representative sample of the Dutch population. Changes to the task design and attribute operationalization could improve the external validity of the study findings, and optimization of the experimental design will improve the internal validity of the study.


Assuntos
COVID-19/epidemiologia , Alocação de Recursos para a Atenção à Saúde/métodos , Unidades de Terapia Intensiva/estatística & dados numéricos , Opinião Pública , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Comportamento de Escolha , Atenção à Saúde , Feminino , Humanos , Tempo de Internação , Masculino , Pessoa de Meia-Idade , Países Baixos/epidemiologia , Pandemias , Admissão do Paciente , Projetos Piloto , SARS-CoV-2 , Triagem/métodos , Adulto Jovem
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