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Automated modelling of signal transduction networks
Martin Steffen
, Allegra Petti
, John Aach
, Patrik D'haeseleer
, Goerge Church
Department of Neurosurgery
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Siteman Cancer Center
Neurofibromatosis (NF) Center
Research output
:
Contribution to journal
›
Article
›
peer-review
201
Scopus citations
Overview
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Keyphrases
Protein-protein Interaction
100%
Signal Transduction Pathway
100%
Expression Profile
100%
Signaling Network
100%
Automated Modeling
100%
Mitogen-activated Protein Kinase
50%
Cell Surface
50%
Small Molecules
50%
DNA Microarray
50%
Protein Molecules
50%
Protein-protein Interaction Data
50%
Computational Approach
50%
Saccharomyces Cerevisiae
50%
Transcript Abundance
50%
Microarray Gene Expression
50%
Transcriptional Changes
50%
Molecular Data
50%
Intracellular Signal Transduction
50%
Without Prior Knowledge
50%
Molecular Description
50%
Protein Interaction Maps
50%
Static Model
50%
Two-hybrid Screen
50%
Higher Structures
50%
Interaction Dataset
50%
Biochemistry, Genetics and Molecular Biology
Signal Transduction
100%
Protein-Protein Interaction
66%
Protein Interaction
66%
Mitogen-Activated Protein Kinase
33%
Small Molecule
33%
Saccharomyces cerevisiae
33%
DNA Microarray
33%