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Networks in Systems Biology : Applications for Disease Modeling / edited by Fabricio Alves Barbosa da Silva, Nicolas Carels, Marcelo Trindade dos Santos, Francisco José Pereira Lopes.

Silva, Fabricio Alves Barbosa da, editor.; Carels, Nicolas, editor.; Trindade dos Santos, Marcelo., editor.; Lopes, Francisco José Pereira., editor.
2020
QH324.2-324.25
Available Online
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Title
Networks in Systems Biology : Applications for Disease Modeling / edited by Fabricio Alves Barbosa da Silva, Nicolas Carels, Marcelo Trindade dos Santos, Francisco José Pereira Lopes.
Edition
1st ed. 2020.
ISBN
9783030518622
3030518620
9783030518622
3030518612
9783030518615
Published
Cham : Springer International Publishing : Imprint: Springer, 2020.
Language
English
Description
1 online resource (X, 377 pages) : illustrations.
Call Number
QH324.2-324.25
Dewey Decimal Classification
570.285
Summary
This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Added Author
Silva, Fabricio Alves Barbosa da, editor.
Carels, Nicolas, editor.
Trindade dos Santos, Marcelo., editor.
Lopes, Francisco José Pereira., editor.
Series
Computational biology ; 32. 1568-2684
Available in Other Form
Print version: 9783030518646
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Record Appears in
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All Resources
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6. A Tutorial on Sobols' Global Sensitivity Analysis Applied to Biological Models
7. Reaction Network Models as a Tool to Study Gene Regulation and Cell Signaling in Development and Diseases
8. Challenges for the Optimization of Drug Therapy in the Treatment of Cancer
9. Opportunities and Challenges Provided by Boolean Modelling of Cancer Signalling Pathways
10. Integrating Omics Data to Prioritize Target Genes in Pathogenic Bacteria
11. Modelling Oxidative Stress Pathways
12. Computational Modeling in Virus Infections and Virtual Screening, Docking and Molecular Dynamics in Drug Design
13. Cellular Regulatory Network Modeling Applied to Breast Cancer.

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