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Computational Modeling of Signaling Networks

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Cover of 'Computational Modeling of Signaling Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Design Principles Underlying Robust Adaptation of Complex Biochemical Networks
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    Chapter 2 Multi-Dimensional Analysis of Biochemical Network Dynamics Using pyDYVIPAC
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    Chapter 3 A Practical Guide for the Efficient Formulation and Calibration of Large, Energy- and Rule-Based Models of Cellular Signal Transduction
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    Chapter 4 Systems Biology: Identifiability Analysis and Parameter Identification via Systems-Biology-Informed Neural Networks
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    Chapter 5 A Practical Guide to Reproducible Modeling for Biochemical Networks
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    Chapter 6 Integrating Multi-Omics Data to Construct Reliable Interconnected Models of Signaling, Gene Regulatory, and Metabolic Pathways
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    Chapter 7 Efficient Quantification of Extrinsic Fluctuations via Stochastic Simulations
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    Chapter 8 Meta-Dynamic Network Modelling for Biochemical Networks
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    Chapter 9 Rapid Particle-Based Simulations of Cellular Signalling with the FLAME-Accelerated Signalling Tool (FaST) and GPUs
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    Chapter 10 Modeling Cellular Signaling Variability Based on Single-Cell Data: The TGFβ-SMAD Signaling Pathway
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    Chapter 11 Quantitative Imaging Analysis of NF-κB for Mathematical Modeling Applications
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    Chapter 12 Resolving Crosstalk Between Signaling Pathways Using Mathematical Modeling and Time-Resolved Single Cell Data
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    Chapter 13 Live-Cell Sender-Receiver Co-cultures for Quantitative Measurement of Paracrine Signaling Dynamics, Gene Expression, and Drug Response.
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    Chapter 14 Application of Optogenetics to Probe the Signaling Dynamics of Cell Fate Decision-Making
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    Chapter 15 Computational Random Mutagenesis to Investigate RAS Mutant Signaling
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    Chapter 16 Mathematically Modeling the Effect of Endocrine and Cdk4/6 Inhibitor Therapies on Breast Cancer Cells
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    Chapter 17 SynDISCO: A Mechanistic Modeling-Based Framework for Predictive Prioritization of Synergistic Drug Combinations Targeting Cell Signalling Networks
Attention for Chapter 11: Quantitative Imaging Analysis of NF-κB for Mathematical Modeling Applications
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Chapter title
Quantitative Imaging Analysis of NF-κB for Mathematical Modeling Applications
Chapter number 11
Book title
Computational Modeling of Signaling Networks
Published by
Humana, New York, NY, January 2023
DOI 10.1007/978-1-0716-3008-2_11
Book ISBNs
978-1-07-163007-5, 978-1-07-163008-2
Authors

Wibisana, Johannes Nicolaus, Inaba, Takehiko, Sako, Yasushi, Okada, Mariko

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Immunology and Microbiology 1 33%