Automatic Generation of Predictive Dynamic Models Reveals Nuclear Phosphorylation as the Key Msn2 Control Mechanism-Reference-Cited by-同舟云学术

Automatic Generation of Predictive Dynamic Models Reveals Nuclear Phosphorylation as the Key Msn2 Control Mechanism

Author:

Sunnåker Mikael¹²³,Zamora-Sillero Elias¹²⁴⁵,Dechant Reinhard⁶,Ludwig Christina⁷,Busetto Alberto Giovanni³⁸,Wagner Andreas⁴⁵⁹,Stelling Joerg¹²

Affiliation:

1. Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.

2. Swiss Institute of Bioinformatics, ETH Zurich, 4058 Basel, Switzerland.

3. Competence Center for Systems Physiology and Metabolic Diseases, ETH Zurich, 8093 Zurich, Switzerland.

4. Institute of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland.

5. Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland.

6. Department of Biology, Institute of Biochemistry, ETH Zurich, 8093 Zurich, Switzerland.

7. Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.

8. Department of Computer Science, ETH Zurich, 8092 Zurich, Switzerland.

9. Santa Fe Institute, Santa Fe, NM 87501, USA.

Abstract

Topological filtering identifies biological networks compatible with known data and enables quantitative analysis of regulatory mechanisms.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Cell Biology,Molecular Biology,Biochemistry

Reference65 articles.

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