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851 4 |
Ultima descărcare din IBN: 2023-03-01 18:29 |
Căutarea după subiecte similare conform CZU |
004.414.23:57/58 (1) |
Programe. Software (296) |
Științe biologice în general (3591) |
Botanică (8635) |
SM ISO690:2012 ROGOJIN, Vladimir, PETRE, Ion. Large-scale executable biology using rapid
integration of computational models. In: Computer Science Journal of Moldova, 2016, nr. 1(70), pp. 118-135. ISSN 1561-4042. |
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Computer Science Journal of Moldova | ||||||
Numărul 1(70) / 2016 / ISSN 1561-4042 /ISSNe 2587-4330 | ||||||
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CZU: 004.414.23:57/58 | ||||||
Pag. 118-135 | ||||||
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Rezumat | ||||||
We plan to develop a systematic framework for assembling largescale computational biological models by reusing and combining already existing modelling efforts. Our goal is to build a software platform that will compile large-scale biomodels through successive integrations of smaller modules. The modules can be arbitrary executable programs accompanied by a set of (I/O) interface variables; they may also have an internal structure (such as a metabolic network, interaction network, etc.) that yields its executable part in a well defined way. Firstly, wherever possible, modules with the compatible internal structure will be joined by combining their structure and by producing new larger executable modules (like, combining two metabolic networks, etc.). Then, irrespective of the underlying internal structure and modelling formalisms, all the modules will be integrated through connecting their overlapping interface variables. The resulting composed model will be regarded as an executable program itself and it will be simulated by running its submodules in parallel and synchronizing them via their I/O variables. This composed model in its turn can also act as a sub-module for some other even large composite model. The major goal of this project is to deliver a powerful large-scale modeling methodology for the primary use in the fields of Computational Systems Biology and Bioinformatics. |
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Cuvinte-cheie computational biomodelling, multiscale whole-cell modeling, model integration, model refinement, executable biology. |
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