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Networks in Systems Biology: Applications for Disease Modeling de Fabricio Alves Barbosa da Silva

Networks in Systems Biology: Applications for Disease Modeling: Computational Biology, cartea 32

Editat de Fabricio Alves Barbosa da Silva, Nicolas Carels, Marcelo Trindade dos Santos, Francisco José Pereira Lopes
en Limba Engleză Paperback – 5 oct 2021
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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Specificații

ISBN-13: 9783030518646
ISBN-10: 3030518647
Ilustrații: X, 377 p. 82 illus., 71 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Computational Biology

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

Provides a detailed analysis of the latest research into biological networks and disease modeling Gathers contributions from renowned experts in the field Covers topics including networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer