Biosimulation of drug metabolism—A yeast based model

Pieper, Ines; Kerstin, Wechler; Katzberg, Michael; Brusch, Lutz; Sørensen, Preben Graae; Mensonides, F.I.C.; Bertau, Martin

doi:10.1016/j.ejps.2008.10.026

Cited by 5 publications

(2 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Jako modelový systém pro zobrazení metabolismu cizorodých látek byla vybrána kvasinka Saccharomyces cerevisiae, u níž může probíhat enzymatická degradace látek jak anaerobně, tak aerobně. Biosimulační model může značně napomáhat schválení léčiv díky zjištění fysiologických účinků metabolitů léčiva a poskytuje podrobnější pohled na metabolismus léčiv v buňce (Clark a Hufford, 1991;Pieper et al, 2009;Srisilam a Veeresham, 2003).…”

Section: Kvasinky Jako Modelový Systémunclassified

See 1 more Smart Citation

Yeast and its uses.

Kopecká¹,

Matoulková²,

Němec³

2012

Kvasny Prum

View full text Add to dashboard Cite

Kvasinky jsou eukaryotní heterotrofní organismy, které patří mezi houby. Od ostatních eukaryot se liší především tvorbou silné a pevné buněčné stěny. Jako zdroj uhlíku a energie slouží kvasinkám hlavně sacharidy, které mohou "zpracovat" aerobní respirací či kvašením. Využití kvasinek je velmi rozmanité. Nezastupitelný význam mají v potravinářském průmyslu zejména při výrobě pekařského a krmného droždí, piva, vína a lihu. Moderní biotechnologie využívají kvasinky pro produkci nejrůznějších látek (vitamíny, enzymy, antibiotika, aminokyseliny, bílkoviny). Tyto kvasinky mohou být geneticky upravovány tak, aby získaly nové a lepší vlastnosti a syntetizovaly požadované látky. Díky relativně snadnému zacházení (isolace mutantů, přenos genů, kultivace, atd.) a znalosti genomu jsou kvasinky vhodným modelovým organismem pro studium fysiologických a metabolických pochodů i genetiky eukaryot. Mimo to ale některé rody kvasinek patří mezi patogeny, které jsou významné zejména pro jedince s oslabenou imunitou.

show abstract

Section: Kvasinky Jako Modelový Systémunclassified

“…Tato práce byla podpořena z finančních prostředků Ministerstva školství, mládeže a tělovýchovy ČR (MSM0021622413) a Ministerstva zemědělství ČR (RO1012). approval process (Clark and Hufford, 1991;Pieper et al, 2009;Srisilam and Veeresham, 2003).…”

Section: Poděkováníunclassified

Yeast and its uses.

Kopecká¹,

Matoulková²,

Němec³

2012

Kvasny Prum

View full text Add to dashboard Cite

show abstract

Current awareness on yeast

2009

Yeast

View full text Add to dashboard Cite

In order to keep subscribers up‐to‐date with the latest developments in their field, this current awareness service is provided by John Wiley & Sons and contains newly‐published material on yeasts. Each bibliography is divided into 10 sections. 1 Reviews; 2 General; 3 Biochemistry; 4 Biotechnology; 5 Cell Biology; 6 Gene Expression; 7 Genetics; 8 Physiology; 9 Medical Mycology; 10 Recombinant DNA Technology. Within each section, articles are listed in alphabetical order with respect to author. If, in the preceding period, no publications are located relevant to any one of these headings, that section will be omitted. (4 weeks journals ‐ search completed 3rd. June 2009)

show abstract

Modeling Metabolic Networks for Mammalian Cell Systems: General Considerations, Modeling Strategies, and Available Tools

Gerdtzen

2011

Genomics and Systems Biology of Mammalian Cell Culture

View full text Add to dashboard Cite

Over the past decades, the availability of large amounts of information regarding cellular processes and reaction rates, along with increasing knowledge about the complex mechanisms involved in these processes, has changed the way we approach the understanding of cellular processes. We can no longer rely only on our intuition for interpreting experimental data and evaluating new hypotheses, as the information to analyze is becoming increasingly complex. The paradigm for the analysis of cellular systems has shifted from a focus on individual processes to comprehensive global mathematical descriptions that consider the interactions of metabolic, genomic, and signaling networks. Analysis and simulations are used to test our knowledge by refuting or validating new hypotheses regarding a complex system, which can result in predictive capabilities that lead to better experimental design. Different types of models can be used for this purpose, depending on the type and amount of information available for the specific system. Stoichiometric models are based on the metabolic structure of the system and allow explorations of steady state distributions in the network. Detailed kinetic models provide a description of the dynamics of the system, they involve a large number of reactions with varied kinetic characteristics and require a large number of parameters. Models based on statistical information provide a description of the system without information regarding structure and interactions of the networks involved. The development of detailed models for mammalian cell metabolism has only recently started to grow more strongly, due to the intrinsic complexities of mammalian systems, and the limited availability of experimental information and adequate modeling tools. In this work we review the strategies, tools, current advances, and recent models of mammalian cells, focusing mainly on metabolism, but discussing the methodology applied to other types of networks as well.

show abstract

Biosimulation of drug metabolism—A yeast based model

Cited by 5 publications

References 68 publications

Yeast and its uses.

Yeast and its uses.

Current awareness on yeast

Modeling Metabolic Networks for Mammalian Cell Systems: General Considerations, Modeling Strategies, and Available Tools

Contact Info

Product

Resources

About