about
Parameter trajectory analysis to identify treatment effects of pharmacological interventionsComputational modeling of cellular signaling processes embedded into dynamic spatial contexts.Exact model reduction of combinatorial reaction networks.Zsyntax: a formal language for molecular biology with projected applications in text mining and biological prediction.Hierarchical graphs for rule-based modeling of biochemical systemsParameter adaptations during phenotype transitions in progressive diseases.Adipogenic factor-loaded microspheres increase retention of transplanted adipose tissueThe Process-Interaction-Model: a common representation of rule-based and logical models allows studying signal transduction on different levels of detail.Optimal experiment design for model selection in biochemical networks.Guidelines for visualizing and annotating rule-based modelsA simple method for identifying parameter correlations in partially observed linear dynamic modelsNADPH oxidase NOX2 defines a new antagonistic role for reactive oxygen species and cAMP/PKA in the regulation of insulin secretion.How pharmacokinetic and pharmacodynamic principles pave the way for optimal basal insulin therapy in type 2 diabetes.The impact of mathematical modeling on the understanding of diabetes and related complications.Effects of a hypercaloric diet on β-cell responsivity in lean healthy men.A Generic Integrated Physiologically based Whole-body Model of the Glucose-Insulin-Glucagon Regulatory System.Quasi-Steady-State Analysis based on Structural Modules and Timed Petri Net Predict System's Dynamics: The Life Cycle of the Insulin Receptor.Vasopressin and hydration play a major role in the development of glucose intolerance and hepatic steatosis in obese rats.
P2860
Q28535030-99D2555B-5781-4224-81CF-455228148726Q30525164-11F35CD4-49E5-4020-A2E6-62449300A5B3Q33364591-54977FB4-AD19-48AD-806B-B6C656493637Q33538002-BF9D7554-8F9B-4D77-9A93-66E5A5BC0E6CQ33810663-42C586F4-7BD9-40BE-9E95-040144553657Q34059056-3D69DC63-A6BC-469F-A15A-784310BE43A5Q34164222-00E07195-5441-45B4-8C78-CE1ADEDD73A8Q34423761-6111A36C-49FA-42D7-A6E3-AAB565A22FCFQ35098702-230164BA-4F0B-44E4-9CEC-6771E7CAF4E0Q35201519-F49FC2FA-9BE3-4CCF-9D30-0F42CCDFDBDAQ35868514-EC3C35E8-1057-4F75-9378-BC33593949A8Q36339543-C344A29D-0D68-476E-9F25-116453E9EE8BQ37771436-507A13DF-0719-4042-A5E1-AB9BD5711C0BQ41819906-B02B2492-6F50-47C0-94FD-8B4BF97DAFDEQ42501927-7FF9756F-4F86-492B-B3BD-B7B92F4C8AEDQ42907122-844761E2-45A6-4518-ADF0-D549142EEDA8Q43114289-9FC006F6-D1F4-425A-9431-2C1808F92B46Q51308854-BCBF9230-FC90-4277-9D9C-D126E3DBF4AA
P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
ALC: automated reduction of rule-based models.
@ast
ALC: automated reduction of rule-based models.
@en
Mathematical modeling and analysis of insulin clearance in vivo.
@nl
type
label
ALC: automated reduction of rule-based models.
@ast
ALC: automated reduction of rule-based models.
@en
Mathematical modeling and analysis of insulin clearance in vivo.
@nl
prefLabel
ALC: automated reduction of rule-based models.
@ast
ALC: automated reduction of rule-based models.
@en
Mathematical modeling and analysis of insulin clearance in vivo.
@nl
P2860
P356
P1433
P1476
ALC: automated reduction of rule-based models.
@en
P2093
Ernst Dieter Gilles
Markus Koschorreck
P2860
P2888
P356
10.1186/1752-0509-2-43
P577
2008-10-31T00:00:00Z
P5875
P6179
1044737502