Agent-based Signaling Models
Agent-Based Signaling Models is a computational modeling framework in signal transduction research that simulates intracellular signaling dynamics by representing individual molecular entities as autonomous agents with defined rules governing their interactions, localization, and state transitions, thereby capturing spatial heterogeneity, stochasticity, and emergent behaviors not readily apparent in population-averaged approaches.
27
Publications
1.1K
Citations
110
Authors
53
Institutions
Publications per year
2017–2026
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Formal agent-based modelling of intracellular chemical interactions
Mark Pogson, R. H. Smallwood, Eva E. Qwarnström et al. · Biosystems · 2006 · 160 citations
Engineering, Biochemistry, Chemistry +13
Cellulat: an agent-based intracellular signalling model
Pedro Pablo González, David Camacho, Armando Franyuti et al. · Biosystems · 2003 · 67 citations
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University of Sheffield
Sheffield, United Kingdom
5 h-index
13 publications
968 citations
University of Virginia
Charlottesville, United States
3 h-index
15 publications
471 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
8 publications
859 citations

University of York
York, United Kingdom
2 h-index
2 publications
84 citations
University of Stuttgart
Stuttgart, Germany
2 h-index
6 publications
84 citations
University of New Mexico
Albuquerque, United States
2 h-index
12 publications
493 citations
McGowan Institute for Regenerative Medicine
Pittsburgh, United States
2 h-index
6 publications
619 citations
Stanford University
Stanford, United States
2 h-index
4 publications
80 citations
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4 publications · 130 citations
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2 publications · 227 citations
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2 publications · 140 citations
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1 publications · 19 citations
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1 publications · 78 citations
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