Wiley Interdiscip Rev Syst Biol Med - Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models.

Tópicos

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Resumo

The use of multi-scale mathematical and computational models to study complex biological processes is becoming increasingly productive. Multi-scale models span a range of spatial and/or temporal scales and can encompass multi-compartment (e.g., multi-organ) models. Modeling advances are enabling virtual experiments to explore and answer questions that are problematic to address in the wet-lab. Wet-lab experimental technologies now allow scientists to observe, measure, record, and analyze experiments focusing on different system aspects at a variety of biological scales. We need the technical ability to mirror that same flexibility in virtual experiments using multi-scale models. Here we present a new approach, tuneable resolution, which can begin providing that flexibility. Tuneable resolution involves fine- or coarse-graining existing multi-scale models at the user's discretion, allowing adjustment of the level of resolution specific to a question, an experiment, or a scale of interest. Tuneable resolution expands options for revising and validating mechanistic multi-scale models, can extend the longevity of multi-scale models, and may increase computational efficiency. The tuneable resolution approach can be applied to many model types, including differential equation, agent-based, and hybrid models. We demonstrate our tuneable resolution ideas with examples relevant to infectious disease modeling, illustrating key principles at work.

Resumo Limpo

use multiscal mathemat comput model studi complex biolog process becom increas product multiscal model span rang spatial andor tempor scale can encompass multicompart eg multiorgan model model advanc enabl virtual experi explor answer question problemat address wetlab wetlab experiment technolog now allow scientist observ measur record analyz experi focus differ system aspect varieti biolog scale need technic abil mirror flexibl virtual experi use multiscal model present new approach tuneabl resolut can begin provid flexibl tuneabl resolut involv fine coarsegrain exist multiscal model user discret allow adjust level resolut specif question experi scale interest tuneabl resolut expand option revis valid mechanist multiscal model can extend longev multiscal model may increas comput effici tuneabl resolut approach can appli mani model type includ differenti equat agentbas hybrid model demonstr tuneabl resolut idea exampl relev infecti diseas model illustr key principl work

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