Computational Strain Design
Computational Strain Design is a systematic methodology within systems metabolic engineering that employs computational models and algorithms to predict genetic and regulatory modifications enabling the optimization of microbial strains for desired biochemical production.
68
Publications
3.8K
Citations
273
Authors
105
Institutions
Publications per year
2017–2026
38
68
1–5 of 68
273
Max Planck Institute for Dynamics of Complex Technical Systems, Germany
7 publications · 420 citations
7
h-index
6
h-index
4
h-index
4
h-index
Max Planck Institute for Dynamics of Complex Technical Systems, Germany
4 publications · 274 citations
4
h-index
1–5 of 273
105
Novo Nordisk Foundation
Copenhagen, Denmark
7 h-index
13 publications
626 citations
Max Planck Institute for Dynamics of Complex Technical Systems
Magdeburg, Germany
7 h-index
17 publications
949 citations

Pennsylvania State University
State College, United States
6 h-index
14 publications
1.5K citations
University of California San Diego
San Diego, United States
6 h-index
15 publications
1.9K citations
Technical University of Denmark
Kongens Lyngby, Denmark
5 h-index
11 publications
563 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
8 publications
1.2K citations

University of Toronto
Toronto, Canada
4 h-index
9 publications
671 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
3 h-index
25 publications
3.4K citations
1–8 of 105
8 publications · 218 citations
8
h-index
5 publications · 316 citations
5
h-index
5 publications · 520 citations
5
h-index
5 publications · 308 citations
5
h-index
4 publications · 285 citations
4
h-index
1–5