Mathematical modeling of intracellular signaling pathways
<p>Abstract</p> <p>Dynamic modeling and simulation of signal transduction pathways is an important topic in systems biology and is obtaining growing attention from researchers with experimental or theoretical background. Here we review attempts to analyze and model specific signali...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-10-01
|
| Series: | BMC Neuroscience |
| id |
doaj-edc9e2cbf8a34beea834a6d154e92361 |
|---|---|
| record_format |
Article |
| spelling |
doaj-edc9e2cbf8a34beea834a6d154e923612020-11-25T02:46:34ZengBMCBMC Neuroscience1471-22022006-10-017Suppl 1S1010.1186/1471-2202-7-S1-S10Mathematical modeling of intracellular signaling pathwaysLiebermeister WolframKlipp Edda<p>Abstract</p> <p>Dynamic modeling and simulation of signal transduction pathways is an important topic in systems biology and is obtaining growing attention from researchers with experimental or theoretical background. Here we review attempts to analyze and model specific signaling systems. We review the structure of recurrent building blocks of signaling pathways and their integration into more comprehensive models, which enables the understanding of complex cellular processes. The variety of mechanisms found and modeling techniques used are illustrated with models of different signaling pathways. Focusing on the close interplay between experimental investigation of pathways and the mathematical representations of cellular dynamics, we discuss challenges and perspectives that emerge in studies of signaling systems.</p> |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Liebermeister Wolfram Klipp Edda |
| spellingShingle |
Liebermeister Wolfram Klipp Edda Mathematical modeling of intracellular signaling pathways BMC Neuroscience |
| author_facet |
Liebermeister Wolfram Klipp Edda |
| author_sort |
Liebermeister Wolfram |
| title |
Mathematical modeling of intracellular signaling pathways |
| title_short |
Mathematical modeling of intracellular signaling pathways |
| title_full |
Mathematical modeling of intracellular signaling pathways |
| title_fullStr |
Mathematical modeling of intracellular signaling pathways |
| title_full_unstemmed |
Mathematical modeling of intracellular signaling pathways |
| title_sort |
mathematical modeling of intracellular signaling pathways |
| publisher |
BMC |
| series |
BMC Neuroscience |
| issn |
1471-2202 |
| publishDate |
2006-10-01 |
| description |
<p>Abstract</p> <p>Dynamic modeling and simulation of signal transduction pathways is an important topic in systems biology and is obtaining growing attention from researchers with experimental or theoretical background. Here we review attempts to analyze and model specific signaling systems. We review the structure of recurrent building blocks of signaling pathways and their integration into more comprehensive models, which enables the understanding of complex cellular processes. The variety of mechanisms found and modeling techniques used are illustrated with models of different signaling pathways. Focusing on the close interplay between experimental investigation of pathways and the mathematical representations of cellular dynamics, we discuss challenges and perspectives that emerge in studies of signaling systems.</p> |
| work_keys_str_mv |
AT liebermeisterwolfram mathematicalmodelingofintracellularsignalingpathways AT klippedda mathematicalmodelingofintracellularsignalingpathways |
| _version_ |
1724757448985673728 |