Results 31 to 40 of about 6,631,455 (355)

Design and Development of Software Tools for Bio-PEPA [PDF]

, 2009
This paper surveys the design of software tools for the Bio-PEPA process algebra. Bio-PEPA is a high-level language for modelling biological systems such as metabolic pathways and other biochemical reaction networks.
Duguid, Adam, Gilmore, Stephen, Guerriero, Maria, Hillston, Jane, Loewe, Laurence   +4 more
core   +3 more sources

Willkür, Takt und Chaos – Biologische Zeitmodelle und ihre Folgen [PDF]

Rechtsgeschichte - Legal History, 2007
Time by itself is an interesting topic in biological systems, but when it comes to modelling biology, the abstracted representation of time within a mathematical model is a construction surprisingly prone to ambiguities, counterintuitive phenomena and ...
Marc-Thorsten Hütt
doaj   +1 more source

StochKit-FF: Efficient Systems Biology on Multicore Architectures [PDF]

, 2010
The stochastic modelling of biological systems is an informative, and in some cases, very adequate technique, which may however result in being more expensive than other modelling approaches, such as differential equations.
A. Perelson, D. Gillespie, D. Wilkinson, K. Asanovic, L. Chao, L. Sguanci, M. Aldinucci, M. Aldinucci   +7 more
core   +2 more sources

Calmodulin as a major calcium buffer shaping vesicular release and short-term synaptic plasticity: facilitation through buffer dislocation

Frontiers in Cellular Neuroscience, 2015
Action potential-dependent release of synaptic vesicles and short-term synaptic plasticity are dynamically regulated by the endogenous Ca2+ buffers that shape [Ca2+] profiles within a presynaptic bouton. Calmodulin is one of the most abundant presynaptic
Yulia eTimofeeva, Kirill eVolynski
doaj   +1 more source

Research-driven education: An introductory course to systems and synthetic biology

Frontiers in Systems Biology, 2022
Systems and Synthetic Biology are complementary fields emerging side-by-side into mainstream scientific research. Whilst systems biologists focus on understanding natural systems, synthetic biologists wish to modify, adapt and re-purpose biological ...
Robert W. Smith, Luis Garcia-Morales, Luis Garcia-Morales, Vitor A. P. Martins dos Santos, Vitor A. P. Martins dos Santos, Edoardo Saccenti   +5 more
doaj   +1 more source

Partial differential equations for self-organization in cellular and developmental biology [PDF]

, 2008
Understanding the mechanisms governing and regulating the emergence of structure and heterogeneity within cellular systems, such as the developing embryo, represents a multiscale challenge typifying current integrative biology research, namely ...
R E Baker, E A Gaffney, P K Maini, Alberts B, Oster G F, Newman S A, Lin C M Jiang Y J Baker R E Maini P K Widelitz R B Chuong C M, Lengeler J W, Murray J D, Murray J D, Cohen D S, Ockendon J R, Britton N F, Fife P C, Grindrod P, Wolpert L, Meinhardt H, Baker R E, Gomez T M, Fenchel T, Schnell S, Myerscough M R, Cruywagen G C, Jiang T X, Chang C, Erban R Chapman S J Maini P K, Briggs G E, Lander A D, Namba R, Andrews S S, Keener J P, Weinan E, Juhlin S P, Bender C M, Crampin E J, Acheson D J   +35 more
core   +2 more sources

Hybrid modelling of biological systems using fuzzy continuous Petri nets

Briefings Bioinform., 2019
Integrated modelling of biological systems is challenged by composing components with sufficient kinetic data and components with insufficient kinetic data or components built only using experts’ experience and knowledge.
Fei Liu, Wujie Sun, M. Heiner, D. Gilbert   +3 more
semanticscholar   +1 more source

Ontologies for use in Systems Biology: SBO, KiSAO and TEDDY [PDF]

, 2010
The use of computational modelling in the description and analysis of biological systems is at the heart of Systems Biology. Besides the information stored in a core model, there is increasingly a need to provide additional semantic information: to ...
Christian Knuepfer, Dagmar Waltemath, Nick Juty, Nick Juty, Nicolas Le Novère   +4 more
core   +2 more sources

deBInfer: Bayesian inference for dynamical models of biological systems in R [PDF]

Methods in Ecology and Evolution, 2016
Understanding the mechanisms underlying biological systems, and ultimately, predicting their behaviours in a changing environment, requires overcoming the gap between mathematical models and experimental or observational data. Differential equations (DEs)
Philipp H. Boersch-Supan, L. Johnson
semanticscholar   +1 more source

Computational Modelling of the Interactions Between Polyoxometalates and Biological Systems

Frontiers in Chemistry, 2022
Polyoxometalates (POMs) structures have raised considerable interest for the last years in their application to biological processes and medicine. Within this area, our mini-review shows that computational modelling is an emerging tool, which can play an
Adrià Gil, Adrià Gil, Adrià Gil, Jorge J. Carbó   +3 more
doaj   +1 more source