Quorum Sensing Network Modeling
Quorum Sensing Network Modeling is a computational systems biology approach that formally represents and analyzes the dynamic interactions among signaling molecules, regulatory genes, and cellular populations in microbial communities to quantitatively predict collective behaviors arising from quorum sensing mechanisms.
34
Publications
1.8K
Citations
109
Authors
53
Institutions
Publications per year
2017–2026
8
Parents
34
A Cell-Based Model for Quorum Sensing in Heterogeneous Bacterial Colonies
Pontus Melke, Patrik Sahlin, Andre Levchenko et al. · PLoS Computational Biology · 2010 · 106 citations · Full text
Life Sciences, Biology, Microbiology +13
Global convergence of quorum-sensing networks
Giovanni Russo, J.-J.E. Slotine · Physical Review E · 2010 · 75 citations · Full text
Transition to Quorum Sensing in an Agrobacterium Population: A Stochastic Model
Andrew B. Goryachev, Da-Jun Toh, Keng Boon Wee et al. · PLoS Computational Biology · 2005 · 74 citations · Full text
Life Sciences, Biology, Microbiology +17
1–5 of 34
109
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 109
53
Technical University of Munich
Munich, Germany
4 h-index
6 publications
144 citations
University of Southern California
Los Angeles, United States
3 h-index
9 publications
142 citations

University of Nottingham
Nottingham, United Kingdom
2 h-index
6 publications
279 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
4 publications
1.9K citations
Amur State University
Blagoveshchensk, Russia
2 h-index
3 publications
49 citations
Bioinformatics Institute
Singapore, Singapore
2 h-index
7 publications
599 citations

Helmholtz Zentrum München
Munich, Germany
2 h-index
3 publications
95 citations
Northwestern University
Evanston, United States
1 h-index
4 publications
288 citations
1–8 of 53
3 publications · 152 citations
3
h-index
PNAS · 2 publications · 638 citations
2
h-index
2 publications · 180 citations
2
h-index
2 publications · 50 citations
2
h-index
1 publications · 20 citations
1
h-index
1–5