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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.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Computational biology 1568-2684 ; 32.
- Computational Biology, 1568-2684 ; 32
- Language:
- English
- Subjects (All):
- Bioinformatics.
- Systems biology.
- Computer simulation.
- Medical informatics.
- Cancer--Research.
- Cancer.
- Computational Biology/Bioinformatics.
- Systems Biology.
- Simulation and Modeling.
- Health Informatics.
- Cancer Research.
- Local Subjects:
- Computational Biology/Bioinformatics.
- Systems Biology.
- Simulation and Modeling.
- Health Informatics.
- Cancer Research.
- Physical Description:
- 1 online resource (X, 377 pages) : 82 illustrations, 71 illustrations in color.
- Edition:
- First edition 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- 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.
- Contents:
- 1. Network Medicine: Methods and Applications
- 2. Computational Tools to Compare Biological Networks
- 3. Functional Gene Networks and their Applications
- 4. A Review of Artificial Neural Networks for the Prediction of Essential Proteins
- 5. Transcriptograms: A Genome Wide Gene Expression Analysis Method
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-51862-2
- 9783030518622
- Access Restriction:
- Restricted for use by site license.
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