%0 Journal Article %1 ISI:000228401800048 %A Haunschild, MD %A Freisleben, B %A Takors, R %A Wiechert, W %C GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND %D 2005 %I OXFORD UNIV PRESS %J BIOINFORMATICS %K myown %N 8 %P 1617-1625 %R 10.1093/bioinformatics/bti225 %T Investigating the dynamic behavior of biochemical networks using model families %U https://doi.org/10.1093/bioinformatics/bti225 %V 21 %X Motivation: Supporting the evolutionary modeling process of dynamic biochemical networks based on sampled in vivo data requires more than just simulation. In the course of the modeling process, the modeler is typically concerned not only with a single model but also with sequences, alternatives and structural variants of models. Powerful automatic methods are then required to assist the modeler in the organization and the evaluation of alternative models. Moreover, the structure and peculiarities of the data require dedicated tool support. Summary: To support all stages of an evolutionary modeling process, a new general formalism for the combinatorial specification of large model families is introduced. It allows for automatic navigation in the space of models and excludes biologically meaningless models on the basis of elementary flux mode analysis. An incremental usage of the measured data is supported by using splined data instead of state variables. With MMT2, a versatile tool has been developed as a computational engine intended to be built into a tool chain. Using automatic code generation, automatic differentiation for sensitivity analysis and grid computing technology, a high performance computing environment is achieved. MMT2 supplies XML model specification and several software interfaces. The performance of MMT2 is illustrated by several examples from ongoing research projects.

@article{ISI:000228401800048, abstract = {{Motivation: Supporting the evolutionary modeling process of dynamic biochemical networks based on sampled in vivo data requires more than just simulation. In the course of the modeling process, the modeler is typically concerned not only with a single model but also with sequences, alternatives and structural variants of models. Powerful automatic methods are then required to assist the modeler in the organization and the evaluation of alternative models. Moreover, the structure and peculiarities of the data require dedicated tool support. Summary: To support all stages of an evolutionary modeling process, a new general formalism for the combinatorial specification of large model families is introduced. It allows for automatic navigation in the space of models and excludes biologically meaningless models on the basis of elementary flux mode analysis. An incremental usage of the measured data is supported by using splined data instead of state variables. With MMT2, a versatile tool has been developed as a computational engine intended to be built into a tool chain. Using automatic code generation, automatic differentiation for sensitivity analysis and grid computing technology, a high performance computing environment is achieved. MMT2 supplies XML model specification and several software interfaces. The performance of MMT2 is illustrated by several examples from ongoing research projects.}}, added-at = {2018-06-08T13:09:31.000+0200}, address = {{GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND}}, affiliation = {{Wiechert, W (Reprint Author), Univ Siegen, Dept Simulat, Paul Bonatz Str 9-11, D-57068 Siegen, Germany. Univ Siegen, Dept Simulat, D-57068 Siegen, Germany. Univ Marburg, Dept Math \& Comp Sci, D-35032 Marburg, Germany. Forschungszentrum Julich, Res Ctr, D-52425 Julich, Germany.}}, author = {Haunschild, MD and Freisleben, B and Takors, R and Wiechert, W}, author-email = {{wiechert@simtec.mb.uni-siegen.de}}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c8a1b01dbecce5013674c74c2c0db3d7/ralftakors}, da = {{2018-01-26}}, doc-delivery-number = {{916QX}}, doi = {{10.1093/bioinformatics/bti225}}, interhash = {6c0b269eb7c4abc5e26817c0c96848b2}, intrahash = {c8a1b01dbecce5013674c74c2c0db3d7}, issn = {{1367-4803}}, journal = {{BIOINFORMATICS}}, journal-iso = {{Bioinformatics}}, keywords = {myown}, keywords-plus = {{SYSTEMS BIOLOGY; SIMULATION; CELL}}, language = {{English}}, month = {{APR 15}}, number = {{8}}, number-of-cited-references = {{26}}, oa = {{gold}}, pages = {{1617-1625}}, publisher = {{OXFORD UNIV PRESS}}, research-areas = {{Biochemistry \& Molecular Biology; Biotechnology \& Applied Microbiology; Computer Science; Mathematical \& Computational Biology; Mathematics}}, times-cited = {{31}}, timestamp = {2018-06-08T11:09:31.000+0200}, title = {{Investigating the dynamic behavior of biochemical networks using model families}}, type = {{Article}}, unique-id = {{ISI:000228401800048}}, url = {https://doi.org/10.1093/bioinformatics/bti225}, usage-count-last-180-days = {{0}}, usage-count-since-2013 = {{1}}, volume = {{21}}, web-of-science-categories = {{Biochemical Research Methods; Biotechnology \& Applied Microbiology; Computer Science, Interdisciplinary Applications; Mathematical \& Computational Biology; Statistics \& Probability}}, year = {{2005}} }