Networks in Systems Biology

Applications for Disease Modeling
1. Auflage 2020
ISBN: 978-3-030-51861-5
Verlag: Springer International Publishing

Buch, Englisch, 377 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 746 g

Reihe: Computational Biology

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.

Zielgruppe

Research

Autoren/Hrsg.

Da Silva, Fabricio Alves Barbosa

Lopes, Francisco José Pereira

Carels, Nicolas

Trindade Dos Santos, Marcelo

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften Systembiologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Onkologie, Krebsforschung
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

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.

Über Autor(innen)

Dr. Fabrício Alves Barbosa da Silva is a Public Health Researcher in the Scientific Computing Program (PROCC) at the Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil. His other publications include the Springer title Theoretical and Applied Aspects of Systems Biology (with Dr. Carels).

Dr. Nicolas Carels is a Titular Researcher in the Centre for Technological Development in Health (CDTS) at FIOCRUZ.

Dr. Marcelo Trindade dos Santos is a Full Technologist at the  Department of Computational Modeling, National Laboratory of Scientific Computing (LNCC), Petrópolis, Brazil.

Dr. Francisco José Pereira Lopes is an Associate Professor in the Graduate Program in Nanobiosystems at the Federal University of Rio de Janeiro (UFRJ), Duque de Caxias, Brazil.