Saccharomyces cerevisiae and S. kudriavzevii Synthetic Wine Fermentation Performance Dissected by Predictive Modeling.

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Saccharomyces cerevisiae and S. kudriavzevii Synthetic Wine Fermentation Performance Dissected by Predictive Modeling.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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Saccharomyces cerevisiae and S ...... sected by Predictive Modeling.

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Saccharomyces cerevisiae and S ...... sected by Predictive Modeling.

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Saccharomyces cerevisiae and S ...... sected by Predictive Modeling.

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Saccharomyces cerevisiae and S ...... sected by Predictive Modeling.

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Saccharomyces cerevisiae and S ...... sected by Predictive Modeling.

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Saccharomyces cerevisiae and S ...... sected by Predictive Modeling.

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P1476

Saccharomyces cerevisiae and S ...... sected by Predictive Modeling.

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Amparo Querol

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David Henriques

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Eva Balsa-Canto

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Javier Alonso-Del-Real

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P2860

Non-conventional Yeast Species for Lowering Ethanol Content of Wines

The molecular genetics of hexose transport in yeasts

Data-driven reverse engineering of signaling pathways using ensembles of dynamic models.

Effect of Temperature on the Prevalence of Saccharomyces Non cerevisiae Species against a S. cerevisiae Wine Strain in Wine Fermentation: Competition, Physiological Fitness, and Influence in Final Wine Composition

Genome-scale analysis of Saccharomyces cerevisiae metabolism and ethanol production in fed-batch culture.

Expanding a dynamic flux balance model of yeast fermentation to genome-scale

How did Saccharomyces evolve to become a good brewer?

Metabolomic comparison of Saccharomyces cerevisiae and the cryotolerant species S. bayanus var. uvarum and S. kudriavzevii during wine fermentation at low temperature.

Effects of temperature, pH and sugar concentration on the growth parameters of Saccharomyces cerevisiae, S. kudriavzevii and their interspecific hybrid.

Dynamic optimization of bioprocesses: efficient and robust numerical strategies.

P304

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scholarly article

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10.3389/FMICB.2018.00088

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P478

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2018-02-02T00:00:00Z

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29456524

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5801724

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