Model-Driven Hypothesis Generation is a computational methodology in translational systems biology that uses formal biological models to systematically derive novel, testable predictions about complex physiological or pathological mechanisms by simulating system behavior under perturbed conditions.
55
Publications
3K
Citations
220
Authors
122
Institutions
Publications per year
2017–2026
20
Publications
55
Tellurium: An extensible python-based modeling environment for systems and synthetic biology
Kiri Choi, Kyle Medley, Matthias König et al. · Biosystems · 2018 · 187 citations
1–5 of 55
Authors
220
- ER
2
h-index
- JS
2
h-index
- MF
2
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- OG
2
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- MP
2
h-index
1–5 of 220
Institutions
122
Imperial College London
London, United Kingdom
3 h-index
13 publications
935 citations
University of Notre Dame
Notre Dame, United States
2 h-index
2 publications
29 citations
University College London
London, United Kingdom
2 h-index
2 publications
451 citations
Citard Services (Cyprus)
Nicosia, Cyprus
2 h-index
3 publications
787 citations
University of Alberta
Edmonton, Canada
2 h-index
2 publications
149 citations
United States Food and Drug Administration
Silver Spring, United States
2 h-index
3 publications
140 citations
Stanford University
Stanford, United States
2 h-index
8 publications
401 citations
Unilever (United Kingdom)
London, United Kingdom
2 h-index
12 publications
416 citations
1–8 of 122
Venues
- BMC Systems Biology
2 publications · 58 citations
2
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- Regulatory Toxicology and Pharmacology
RTP · 2 publications · 120 citations
2
h-index
- Biosystems
2 publications · 205 citations
2
h-index
- Journal of Mathematical Psychology
2 publications · 60 citations
2
h-index
- Proceedings of the National Academy of Sciences
PNAS · 1 publications · 105 citations
1
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1–5