PKDB Caffeine Study

Actions

Order Assays

Overview
Related items

Pharmacokinetics data set for caffeine

SEEK ID: https://seek.lisym.org/studies/30

Investigation: Caffeine investigation

Projects: Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF)

Study position:

Help

Selected: PKDB Caffeine Study (Study)
Description: Pharmacokinetics data set for caffeine
SEEK ID: https://seek.lisym.org/studies/30

Tree Split Graph

Caffeine investigation
- PKDB Caffeine Study

Export PNG

Click below to download a copy of the image

Download

Creators and Submitter

Creator

Matthias König

Submitter

Matthias König

Activity

Views: 1998

Created: 3rd May 2019 at 09:46

Related items

People (1)
Programmes (1)
Projects (1)
Investigations (1)
Assays (14)
Data files (28)
Publications (1)

Advanced People list for this Study with search and filtering

Matthias König

Projects: LiSyM PALs, Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), LiSyM network, LiSyM-Krebs Partnering

Institutions: Humboldt-Universität zu Berlin - Institute for Theoretical Biology (ITB)

https://orcid.org/0000-0003-1725-179X

Expertise: computational biology, computational modelling, metabolic networks, kinetic modelling, pharmacokinetics, Modelling, Bioinformatics, Systems Biology, Systems Medicine

Tools: SBML, SED-ML, ODE, Cytoscape, FBA, Python

We are investigating liver metabolism and function with the help of computational models and methods.

Group Leader Dr. Matthias König

Institute for Theoretical Biology Humboldt-University Berlin Philippstraße 13, 10115 Berlin, Germany phone +49 30 2093-98435 koenigmx@hu-berlin.de https://www.livermetabolism.com

The König group works on computational modeling, data science, data management, bioinformatics methods and machine learning on ...

Advanced Programmes list for this Study with search and filtering

LiSyM: Liver Systems Medicine

Liver Systems Medicine : striving to develop non-invasive methods for diagnosing and treating NAFLD by combining mathematical modeling and biological research. LiSyM, is a multidisciplinary research network, in which molecular and cell biologists, clinical researchers, pharmacologists and experts in mathematical modeling examine the liver in its entirety. LiSyM research focuses on the metabolic liver disease non-alcoholic fatty liver disease (NAFLD), which includes non-alcoholic steatohepatitis ...

Projects: LiSyM Core Infrastructure and Management (LiSyM-PD), LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM PALs, Project Management PTJ, LiSyM network, LiSyM Scientific Leadership Team (LiSyM-LT)

Web page: https://www.lisym.org/

Advanced Projects list for this Study with search and filtering

Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF)

Dr. Matthias König (Humboldt University, Berlin) models the human liver on the computer. His simulations show the extent of individual differences in liver function and the external factors influencing it. König has shown that smoking falsifies the result of an important liver test (LiMAx). With his models, drug doses can be calculated so that they can be administered in doses that do not harm the liver.

Programme: LiSyM: Liver Systems Medicine

Public web page: https://livermetabolism.com

Start date: 1st Jan 2016

Organisms: Homo sapiens

Advanced Investigations list for this Study with search and filtering

Caffeine investigation

Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF)

All creators

Matthias König

Test for SEEK API upload.