ArticleFrontiers in bioengineering and biotechnology2020
Toward Engineering Biosystems With Emergent Collective Functions.
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed.
- Biodiversity as a firewall to engineered microbiomes for restoration and conservation.Royal Society open science · 2024Article
- ABCD of IA: A multi-scale agent-based model of T cell activation in inflammatory arthritis.Biomaterials science · 2024Article
- Is it selfish to be filamentous in biofilms? Individual-based modeling links microbial growth strategies with morphology using the new and modular iDynoMiCS 2.0.PLoS computational biology · 2024Article
- Generative models of morphogenesis in developmental biology.Seminars in cell & developmental biology · 2023Review
- In-silico and in-vitro morphometric analysis of intestinal organoids.PLoS computational biology · 2023Article
- Article
- Advanced medical micro-robotics for early diagnosis and therapeutic interventions.Frontiers in robotics and AI · 2022Review
- Seven challenges in the multiscale modeling of multicellular tissues.WIREs mechanisms of disease · 2022Review
- Contextual dependencies expand the re-usability of genetic inverters.Nature communications · 2021Article
- paraSBOLv: a foundation for standard-compliant genetic design visualization tools.Synthetic biology (Oxford, England) · 2021Article
- Biofilm and swarming emergent behaviours controlled through the aid of biophysical understanding and tools.Biochemical Society transactions · 2020Review
Corrections and comments
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Authors and funding
20 authors.
Funding
Abstract
Many complex behaviors in biological systems emerge from large populations of interacting molecules or cells, generating functions that go beyond the capabilities of the individual parts. Such collective phenomena are of great interest to bioengineers due to their robustness and scalability. However, engineering emergent collective functions is difficult because they arise as a consequence of complex multi-level feedback, which often spans many length-scales. Here, we present a perspective on how some of these challenges could be overcome by using multi-agent modeling as a design framework within synthetic biology. Using case studies covering the construction of synthetic ecologies to biological computation and synthetic cellularity, we show how multi-agent modeling can capture the core features of complex multi-scale systems and provide novel insights into the underlying mechanisms which guide emergent functionalities across scales. The ability to unravel design rules underpinning these behaviors offers a means to take synthetic biology beyond single molecules or cells and toward the creation of systems with functions that can only emerge from collectives at multiple scales.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.