Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models
about
A cell-centered, agent-based framework that enables flexible environment granularities.In silico, experimental, mechanistic model for extended-release felodipine disposition exhibiting complex absorption and a highly variable food interactionVirtual Experiments Enable Exploring and Challenging Explanatory Mechanisms of Immune-Mediated P450 Down-RegulationCompeting Mechanistic Hypotheses of Acetaminophen-Induced Hepatotoxicity Challenged by Virtual ExperimentsA multi-scale approach to designing therapeutics for tuberculosisA computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatmentSystems Pharmacology Approach Toward the Design of Inhaled Formulations of Rifampicin and Isoniazid for Treatment of TuberculosisCell, isoform, and environment factors shape gradients and modulate chemotaxisStrategies for efficient numerical implementation of hybrid multi-scale agent-based models to describe biological systems.Identifying mechanisms driving formation of granuloma-associated fibrosis during Mycobacterium tuberculosis infection.Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions.New Paradigm for Translational Modeling to Predict Long-term Tuberculosis Treatment Response.Dosage and Dose Schedule Screening of Drug Combinations in Agent-Based Models Reveals Hidden Synergies.Novel cationic lipid nanoparticles as an ophthalmic delivery system for multicomponent drugs: development, characterization, in vitro permeation, in vivo pharmacokinetic, and molecular dynamics studies.Computational Modeling in Liver Surgery.Simulation enabled search for explanatory mechanisms of the fracture healing process.Deletion of TGF-β1 Increases Bacterial Clearance by Cytotoxic T Cells in a Tuberculosis Granuloma Model.Emergence and selection of isoniazid and rifampin resistance in tuberculosis granulomas.Multifidelity Analysis for Predicting Rare Events in Stochastic Computational Models of Complex Biological SystemsAdvanced model systems and tools for basic and translational human immunology
P2860
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P2860
Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models
description
2014 nî lūn-bûn
@nan
2014 թուականին հրատարակուած գիտական յօդուած
@hyw
2014 թվականին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Tuneable resolution as a syste ...... mpartment computational models
@ast
Tuneable resolution as a syste ...... mpartment computational models
@en
Tuneable resolution as a syste ...... mpartment computational models
@nl
type
label
Tuneable resolution as a syste ...... mpartment computational models
@ast
Tuneable resolution as a syste ...... mpartment computational models
@en
Tuneable resolution as a syste ...... mpartment computational models
@nl
prefLabel
Tuneable resolution as a syste ...... mpartment computational models
@ast
Tuneable resolution as a syste ...... mpartment computational models
@en
Tuneable resolution as a syste ...... mpartment computational models
@nl
P2093
P2860
P3181
P356
P1476
Tuneable resolution as a syste ...... mpartment computational models
@en
P2093
C Anthony Hunt
Denise E Kirschner
Jennifer J Linderman
Mohammad Fallahi-Sichani
P2860
P304
P3181
P356
10.1002/WSBM.1270
P407
P577
2014-01-01T00:00:00Z