In silico modelling of cancer nanomedicine, across scales and transport barriers

Stillman, Namid; Kovacevic, Marina; Balaz, Igor; Hauert, Sabine

doi:10.1038/s41524-020-00366-8

Cited by 81 publications

(50 citation statements)

References 129 publications

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“…They help in improving drug efficacy and decrease the drug toxicity in disease therapy (Blanco et al, 2015;Pastorino et al, 2019;Ahmad et al, 2021). Further, nanocarriers interact with the biomolecules on the cell surface and within the cell in ways that do not alter these molecules' biochemical properties and behavior (Pastorino et al, 2019;Gao et al, 2020;Stillman et al, 2020). Such ready access to a living cell's interior allows remarkable advantages on the clinical and basic research frontiers.…”

Section: Introductionmentioning

confidence: 99%

Microbial Nano-Factories: Synthesis and Biomedical Applications

et al. 2021

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In the recent times, nanomaterials have emerged in the field of biology, medicine, electronics, and agriculture due to their immense applications. Owing to their nanoscale sizes, they present large surface/volume ratio, characteristic structures, and similar dimensions to biomolecules resulting in unique properties for biomedical applications. The chemical and physical methods to synthesize nanoparticles have their own limitations which can be overcome using biological methods for the synthesis. Moreover, through the biogenic synthesis route, the usage of microorganisms has offered a reliable, sustainable, safe, and environmental friendly technique for nanosynthesis. Bacterial, algal, fungal, and yeast cells are known to transport metals from their environment and convert them to elemental nanoparticle forms which are either accumulated or secreted. Additionally, robust nanocarriers have also been developed using viruses. In order to prevent aggregation and promote stabilization of the nanoparticles, capping agents are often secreted during biosynthesis. Microbial nanoparticles find biomedical applications in rapid diagnostics, imaging, biopharmaceuticals, drug delivery systems, antimicrobials, biomaterials for tissue regeneration as well as biosensors. The major challenges in therapeutic applications of microbial nanoparticles include biocompatibility, bioavailability, stability, degradation in the gastro-intestinal tract, and immune response. Thus, the current review article is focused on the microbe-mediated synthesis of various nanoparticles, the different microbial strains explored for such synthesis along with their current and future biomedical applications.

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Section: Introductionmentioning

confidence: 99%

Microbial Nano-Factories: Synthesis and Biomedical Applications

et al. 2021

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“…The emergent properties inherent in many diseases, and the potential to harness such behaviors for new treatments, highlight the need for multi-scale modeling tools. Moreover, with the rapidly expanding field of "systems medicine, " integrated modeling pipelines able to predict multi-scale disease dynamics and assess novel synthetic biology treatments via large-scale simulation and machine learning are positioned to revolutionize many areas of medicine (Stillman et al, 2020).…”

Section: Collective Phenomena Driving Diseasementioning

confidence: 99%

Toward Engineering Biosystems With Emergent Collective Functions

Gorochowski

Hauert

Kreft

et al. 2020

Front. Bioeng. Biotechnol.

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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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“…The emergent properties inherent in many diseases, and the potential to harness such behaviours for new treatments, highlight the need for multi-scale modelling tools. Moreover, with the rapidly expanding field of "systems medicine", integrated modelling pipelines able to predict multi-scale disease dynamics and assess novel synthetic biology treatments via largescale simulation and machine learning are positioned to revolutionise many areas of medicine (Stillman et al, 2020).…”

Section: Collective Phenomena Driving Diseasementioning

confidence: 99%

Towards Engineering Biosystems with Emergent Collective Functions

Gorochowski¹,

Hauert²,

Kreft³

et al. 2020

Preprint

Self Cite

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Many complex behaviours 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 multiple length-scales. Here, we present a perspective on how some of these challenges could be overcome by using multi-agent modelling 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 modelling 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 behaviours offers a means to take synthetic biology beyond single molecules or cells and towards the creation of systems with functions that can only emerge from collectives at multiple scales.

show abstract

In silico modelling of cancer nanomedicine, across scales and transport barriers

Cited by 81 publications

References 129 publications

Microbial Nano-Factories: Synthesis and Biomedical Applications

Microbial Nano-Factories: Synthesis and Biomedical Applications

Toward Engineering Biosystems With Emergent Collective Functions

Towards Engineering Biosystems with Emergent Collective Functions

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