Modeling the Heart--from Genes to Cells to the Whole Organ

  title={Modeling the Heart--from Genes to Cells to the Whole Organ},
  author={Denis Noble},
  pages={1678 - 1682}
  • D. Noble
  • Published 1 March 2002
  • Biology
  • Science
Successful physiological analysis requires an understanding of the functional interactions between the key components of cells, organs, and systems, as well as how these interactions change in disease states. This information resides neither in the genome nor even in the individual proteins that genes code for. It lies at the level of protein interactions within the context of subcellular, cellular, tissue, organ, and system structures. There is therefore no alternative to copying nature and… 

Systems biology and the heart.

The heart is already working.

  • D. Noble
  • Biology
    Biochemical Society transactions
  • 2005
This work uses models of the heart to demonstrate that functionality in a quantitative manner can now go all the way from individual genetic information (on mutations, for example) to exploring the consequences at a whole-organ level.

Multiscale Modeling of Cardiac Cellular Energetics

This basic model is regarded as a primitive upon which to build models encompassing gene regulation, signaling, and long‐term adaptations in structure and function, including the “eternal cell,” which assumes that there is neither proteolysis nor protein synthesis.

Computational physiology and the physiome project

The state of the field at all the relevant levels of Integrative physiology is reviewed, and the tools that are being developed to tackle such complexity are reviewed.

Development of the cardiac cell model by applying object-oriented methods

In this study, the object-oriented methods were applied to develop the computational model of the cell function as a tree structure of the functional modules that are independent of each other and exchangeable.

Cytomics in the realm of systems biology

  • A. Kriete
  • Biology
    Cytometry. Part A : the journal of the International Society for Analytical Cytology
  • 2005
Cytomics aims to provide comprehensive, accurate, unbiased and systematic data that appreciates single cell properties, which is of great value since averaging can seriously limit systems biology approaches, such as network analyses.

Hierarchical approaches for systems modeling in cardiac development

relevant in vivo and in vitro experimental approaches are discussed, different computational frameworks for systems modeling are compared, and the latest information about systems modeling of cardiac development is discussed.

Will genomics revolutionise pharmaceutical R&D?

  • D. Noble
  • Biology
    Trends in biotechnology
  • 2003

"A system biology" approach to bioinformatics and functional genomics in complex human diseases: arthritis.

The post-genomic era of functionomics will facilitate to narrow the bridge between correlative data and causative data by quaint hypothesis-driven research using a system approach integrating "intercoms" of interacting and interdependent disciplines forming a unified whole as described in this review for Arthritis.

Mathematical models in physiology

The current and next issues of this journal are devoted to a small sub-set of this initiative and address biocomputation and modelling in physiology, illustrating the breadth and depth of experimental data-based model development in biological research from sub-cellular events to whole organ simulations.



'In silico' simulation of biological processes

Chair's Introduction (D. Noble). Integrative biological modelling in silico (A. McCulloch and G. Huber). Advances in computing, and their impact on scientific computing (M. Giles). From physics to

Complexity in Biological Information Processing


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