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020 _a9783030518622
_9978-3-030-51862-2
024 7 _a10.1007/978-3-030-51862-2
_2doi
050 4 _aQH324.2-324.25
072 7 _aPS
_2bicssc
072 7 _aUY
_2bicssc
072 7 _aSCI008000
_2bisacsh
072 7 _aPSAX
_2thema
082 0 4 _a570.285
_223
082 0 4 _a570.113
_223
245 1 0 _aNetworks in Systems Biology
_h[electronic resource] :
_bApplications for Disease Modeling /
_cedited by Fabricio Alves Barbosa da Silva, Nicolas Carels, Marcelo Trindade dos Santos, Francisco José Pereira Lopes.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aX, 377 p. 82 illus., 71 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aComputational Biology,
_x2662-2432 ;
_v32
505 0 _a1. 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.
520 _aThis 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.
650 0 _aBioinformatics.
650 0 _aComputer simulation.
650 0 _aMedical informatics.
650 0 _aCancer.
650 1 4 _aComputational and Systems Biology.
650 2 4 _aComputer Modelling.
650 2 4 _aHealth Informatics.
650 2 4 _aCancer Biology.
700 1 _ada Silva, Fabricio Alves Barbosa.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCarels, Nicolas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTrindade dos Santos, Marcelo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLopes, Francisco José Pereira.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030518615
776 0 8 _iPrinted edition:
_z9783030518639
776 0 8 _iPrinted edition:
_z9783030518646
830 0 _aComputational Biology,
_x2662-2432 ;
_v32
856 4 0 _uhttps://doi.org/10.1007/978-3-030-51862-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176681
_d176681