Mathematical and computational techniques to deduce complex biochemical reaction mechanisms
نویسندگان
چکیده
منابع مشابه
Mathematical and computational techniques to deduce complex biochemical reaction mechanisms.
Time series data can now be routinely collected for biochemical reaction pathways, and recently, several methods have been proposed to infer reaction mechanisms for metabolic pathways and networks. In this paper we provide a survey of mathematical techniques for determining reaction mechanisms for time series data on the concentration or abundance of different reacting components, with little p...
متن کاملMathematical problems arising from biochemical reaction networks
Recent developments have suggested the feasibility of mathematical analysis of biochemical reaction networks arising in systems biology and related disciplines, using methods from computational algebra, algebraic geometry and dynamical systems. Because of the nonlinearity of such systems, previous approaches have largely relied on numerical simulation. Mathematical analysis has provided new bio...
متن کاملComputational functions in biochemical reaction networks.
In prior work we demonstrated the implementation of logic gates, sequential computers (universal Turing machines), and parallel computers by means of the kinetics of chemical reaction mechanisms. In the present article we develop this subject further by first investigating the computational properties of several enzymatic (single and multiple) reaction mechanisms: we show their steady states ar...
متن کاملEnzyme mechanisms: fast reaction and computational approaches.
Now, more than ever, enzymology and its development can be considered of vital importance to the progression of the biological sciences. With an increase in the numbers of enzymes being identified from genomic studies, enzymology is key to defining the structural and functional properties of these enzymes in order to establish their mechanisms of action and how they fit into metabolic networks....
متن کاملEfficient simulation techniques for biochemical reaction networks
Discrete-state, continuous-time Markov models are becoming commonplace in the modelling of biochemical processes. The mathematical formulations that such models lead to are opaque, and, due to their complexity, are often considered analytically intractable. As such, a variety of Monte Carlo simulation algorithms have been developed to explore model dynamics empirically. Whilst well-known method...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Progress in Biophysics and Molecular Biology
سال: 2004
ISSN: 0079-6107
DOI: 10.1016/j.pbiomolbio.2004.04.002