Titlebook: Using Mathematics to Understand Biological Complexity; From Cells to Popula Rebecca Segal,Blerta Shtylla,Suzanne Sindi Book 2021 The Associ

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Book 2021mor growth modeling, and geospatial modeling of malaria. The work is the result of newly formed collaborative groups begun during the Collaborative Workshop for Women in Mathematical Biology hosted by the Institute of Pure and Applied Mathematics at UCLA in June 2019. Previous workshops in this series have occurred at IMA, NIMBioS, and MBI..

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Connecting Actin Polymer Dynamics Across Multiple Scales,ons. Actin assembles into semi-flexible filaments that cross-link to form higher order structures within the cytoskeleton. In turn, the actin cytoskeleton regulates cell shape, and participates in cell migration and division. A variety of theoretical models have been proposed to investigate actin dy

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Secondary Structure Ensemble Analysis via Community Detection,/Gibbs ensemble for the biological objects known as RNA secondary structures. As described, a new computational pipeline was developed, implemented, and tested against the prior method .. Since the new approach was judged to provide more structural information in 75% of the test cases, this proof-of

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Investigating the Impact of Combination Phage and Antibiotic Therapy: A Modeling Study,c pipeline, has resulted in a renewed interest in phage therapy, which is the use of bacteriophages to treat pathogenic bacterial infections. This therapy, which was successfully used to treat a variety of infections in the early twentieth century, had been largely dismissed due to the discovery of

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A Framework for Performing Data-Driven Modeling of Tumor Growth with Radiotherapy Treatment,e typically based on sparse datasets. In this work, we propose a workflow for choosing an appropriate model, verifying parameter identifiability, and assessing the amount of data necessary to accurately calibrate model parameters. As a proof-of-concept, we compare tumor growth models of varying comp