We are analyzing https://link.springer.com/article/10.1186/1752-0509-2-47.

Title:
Optimization in computational systems biology | BMC Systems Biology
Description:
Optimization aims to make a system or design as effective or functional as possible. Mathematical optimization methods are widely used in engineering, economics and science. This commentary is focused on applications of mathematical optimization in computational systems biology. Examples are given where optimization methods are used for topics ranging from model building and optimal experimental design to metabolic engineering and synthetic biology. Finally, several perspectives for future research are outlined.
Website Age:
28 years and 1 months (reg. 1997-05-29).

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Keywords {🔍}

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Topics {✒️}

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Questions {❓}

Which are the criteria (objective functions) being optimized in these networks?

Schema {🗺️}

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         description:Optimization aims to make a system or design as effective or functional as possible. Mathematical optimization methods are widely used in engineering, economics and science. This commentary is focused on applications of mathematical optimization in computational systems biology. Examples are given where optimization methods are used for topics ranging from model building and optimal experimental design to metabolic engineering and synthetic biology. Finally, several perspectives for future research are outlined.
         datePublished:2008-05-28T00:00:00Z
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      headline:Optimization in computational systems biology
      description:Optimization aims to make a system or design as effective or functional as possible. Mathematical optimization methods are widely used in engineering, economics and science. This commentary is focused on applications of mathematical optimization in computational systems biology. Examples are given where optimization methods are used for topics ranging from model building and optimal experimental design to metabolic engineering and synthetic biology. Finally, several perspectives for future research are outlined.
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         Computational Biology/Bioinformatics
         Physiological
         Cellular and Medical Topics
         Algorithms
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