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Principles of synthetic biology
KL Garner - Essays in biochemistry, 2021 - portlandpress.com
In synthetic biology, biological cells and processes are dismantled and reassembled to
make novel systems that do useful things. Designs are encoded by deoxyribonucleic acid …
make novel systems that do useful things. Designs are encoded by deoxyribonucleic acid …
Multiscale agent-based and hybrid modeling of the tumor immune microenvironment
Multiscale systems biology and systems pharmacology are powerful methodologies that are
playing increasingly important roles in understanding the fundamental mechanisms of …
playing increasingly important roles in understanding the fundamental mechanisms of …
COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions
The COVID-19 pandemic due to the SARS-CoV-2 coronavirus has directly impacted the
public health and economy worldwide. To overcome this problem, countries have adopted …
public health and economy worldwide. To overcome this problem, countries have adopted …
A multi-stage representation of cell proliferation as a Markov process
The stochastic simulation algorithm commonly known as Gillespie's algorithm (originally
derived for modelling well-mixed systems of chemical reactions) is now used ubiquitously in …
derived for modelling well-mixed systems of chemical reactions) is now used ubiquitously in …
Agent‐based modeling in molecular systems biology
Molecular systems orchestrating the biology of the cell typically involve a complex web of
interactions among various components and span a vast range of spatial and temporal …
interactions among various components and span a vast range of spatial and temporal …
Multiscale coupling of an agent-based model of tissue fibrosis and a logic-based model of intracellular signaling
Wound healing and fibrosis following myocardial infarction (MI) is a dynamic process
involving many cell types, extracellular matrix (ECM), and inflammatory cues. As both …
involving many cell types, extracellular matrix (ECM), and inflammatory cues. As both …
Agent-based modelling for tourism research
Managing tourism destinations has become increasingly challenging due to the tourism
ecosystem's complex nature. Tourism destinations can be seen as complex systems …
ecosystem's complex nature. Tourism destinations can be seen as complex systems …
[HTML][HTML] Multiscale modeling in disease
ANF Versypt - Current opinion in systems biology, 2021 - Elsevier
Multiscale computational modeling aims to connect the complex networks of effects at
different length and/or time scales. For example, these networks often include intracellular …
different length and/or time scales. For example, these networks often include intracellular …
Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model Hamiltonian
A Rojas-Domínguez, R Arroyo-Duarte… - BMC …, 2022 - Springer
Abstract Background and objective Cancer Immunoediting (CI) describes the cellular-level
interaction between tumor cells and the Immune System (IS) that takes place in the Tumor …
interaction between tumor cells and the Immune System (IS) that takes place in the Tumor …
Fine-grained agent-based modeling to predict covid-19 spreading and effect of policies in large-scale scenarios
Modeling and forecasting the spread of COVID-19 remains an open problem for several
reasons. One of these concerns the difficulty to model a complex system at a high resolution …
reasons. One of these concerns the difficulty to model a complex system at a high resolution …