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Macklin Inc agent based model
Agent Based Model, supplied by Macklin Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/agent+based+model/agent+based+model+motility+ofcell/pm42303267-479-8-2
Average 86 stars, based on 1 article reviews

agent based model - by Bioz Stars, 2026-10

86/100 stars

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Activation Assay:

Article Title: A Computational Systems Biology Approach to Predictive Oncology: A Computer Modeling and Bioinformatics Study Predicting Tumor Response to Therapy and Cancer Phenotypes
Article Snippet: Mitosis has been treated more rigorously in prior agent-based cell models running simulations on the order of days and months, where the state of each cell within the cell cycle is tracked as a probability function of time (Macklin, et 41]., 2009) or a protein signaling model elicits proliferation by tracking activation of well-reported proliferation- related pathways such as Raf-MEK-ERK pathway (Z. Wang, et 01., 2007) and levels of p27 (Alarcon, Byme, & Maini, 2004). .. Mitosis has been treated more rigorously in prior agent-based cell models running simulations on the order of days and months, where the state of each cell within the cell cycle is tracked as a probability function of time (Macklin, et 41]., 2009) or a protein signaling model elicits proliferation by tracking activation of well-reported proliferation- related pathways such as Raf-MEK-ERK pathway (Z. Wang, et 01., 2007) and levels of p27 (Alarcon, Byme, & Maini, 2004). ..

Membrane:

Article Title: Basement membrane turnover drivesfilopodial protease-independent invasion.
Article Snippet: .. D’Antonio G, Macklin P, Preziosi L. 2013 An agent-based model for elasto-plastic mechanical interactions between cells, basement membrane and extracellular matrix. ..

Gene Expression:

Article Title: A Computational Systems Biology Approach to Predictive Oncology: A Computer Modeling and Bioinformatics Study Predicting Tumor Response to Therapy and Cancer Phenotypes
Article Snippet: Sanga, S., Macklin, P.T., Cristini, V., From receptor dynamics to directed cell motion: A predictive agent- based model ofcell motility in complex microenvironments (in preparation) Sanga, S., Broom, B.M., Cristini, V., Edgerton, M.E., Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family, BMC Medical Genomicx, (in press) Edgerton, M.E., Chuang, Y.L., Macklin, P.T., Sanga, S., Kim, J., Tamaiuolo, G., Yang, W., Broom, A., Do, K.A., Cristini, V. Using mathematical models to understand the time dependence ofthe growth ofductal carcinoma in situ. .. Sanga, S., Macklin, P.T., Cristini, V., From receptor dynamics to directed cell motion: A predictive agent- based model ofcell motility in complex microenvironments (in preparation) Sanga, S., Broom, B.M., Cristini, V., Edgerton, M.E., Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family, BMC Medical Genomicx, (in press) Edgerton, M.E., Chuang, Y.L., Macklin, P.T., Sanga, S., Kim, J., Tamaiuolo, G., Yang, W., Broom, A., Do, K.A., Cristini, V. Using mathematical models to understand the time dependence ofthe growth ofductal carcinoma in situ. ..

In Situ:

Article Title: A Computational Systems Biology Approach to Predictive Oncology: A Computer Modeling and Bioinformatics Study Predicting Tumor Response to Therapy and Cancer Phenotypes
Article Snippet: Sanga, S., Macklin, P.T., Cristini, V., From receptor dynamics to directed cell motion: A predictive agent- based model ofcell motility in complex microenvironments (in preparation) Sanga, S., Broom, B.M., Cristini, V., Edgerton, M.E., Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family, BMC Medical Genomicx, (in press) Edgerton, M.E., Chuang, Y.L., Macklin, P.T., Sanga, S., Kim, J., Tamaiuolo, G., Yang, W., Broom, A., Do, K.A., Cristini, V. Using mathematical models to understand the time dependence ofthe growth ofductal carcinoma in situ. .. Sanga, S., Macklin, P.T., Cristini, V., From receptor dynamics to directed cell motion: A predictive agent- based model ofcell motility in complex microenvironments (in preparation) Sanga, S., Broom, B.M., Cristini, V., Edgerton, M.E., Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family, BMC Medical Genomicx, (in press) Edgerton, M.E., Chuang, Y.L., Macklin, P.T., Sanga, S., Kim, J., Tamaiuolo, G., Yang, W., Broom, A., Do, K.A., Cristini, V. Using mathematical models to understand the time dependence ofthe growth ofductal carcinoma in situ. ..

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