Networks in Systems Biology

Applications for Disease Modeling

Inbunden, Engelska, 2020

Av Fabricio Alves Barbosa da Silva, Nicolas Carels, Marcelo Trindade dos Santos, Francisco José Pereira Lopes, Francisco Jose Pereira Lopes, Fabricio Alves Barbosa Da Silva, Marcelo Trindade Dos Santos

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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.

Produktinformation

Utgivningsdatum2020-10-04
Mått155 x 235 x 27 mm
Vikt746 g
FormatInbunden
SpråkEngelska
SerieComputational Biology
Antal sidor377
Upplaga20001
FörlagSpringer Nature Switzerland AG
ISBN9783030518615

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Onkologi inom Medicin
Systemvetenskap och AI inom Data och it
Biovetenskap inom Naturvetenskap och teknik

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.

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.