In Silico Trial to test COVID-19 candidate vaccines: a case study with UISS platform

Russo, Giulia; Pennisi, Marzio; Viceconti, Marco; Pappalardo, Francesco

doi:10.1101/2020.05.06.080630

Cited by 11 publications

(10 citation statements)

References 50 publications

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“…To get a grip on this outbreak, specific preventive and therapeutic interventions are urgently needed. In their work, Russo et al [ 1 ], present an in silico platform that showed to be in very strong agreement with the latest literature in predicting SARS-CoV-2 dynamics and related immune system host response. The computational framework they described, namely Universal Immune System Simulator (UISS), is potentially ready to be used as an in silico trial platform to predict the outcome of vaccination strategy against SARS-CoV-2.…”

Section: Topics Coveredsupporting

confidence: 58%

Toward computational modelling on immune system function

2020

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The 3rd edition of the computational methods for the immune system function workshop has been held in San Diego, CA, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019) from November 18 to 21, 2019. The workshop has continued its growing tendency, with a total of 18 accepted papers that have been presented in a full day workshop. Among these, the best 10 papers have been selected and extended for presentation in this special issue. The covered topics range from computer-aided identification of T cell epitopes to the prediction of heart rate variability to prevent brain injuries, from In Silico modeling of Tuberculosis and generation of digital patients to machine learning applied to predict type-2 diabetes risk.

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Section: Topics Coveredsupporting

confidence: 58%

Toward computational modelling on immune system function

2020

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“…Computer simulation may also accelerate the search for an effective vaccine. Importantly, a study carried out at the University of Catania, in Italy, led to the development of a useful platform to predict in silico, the efficiency of selected anti-SARS-CoV-2 monoclonal antibodies in generating an adequate host immune response (101). The Universal Immune System Simulator (UISS) is able to simulate the dynamics of single entities of the immune system, following a stimulus or a therapeutic intervention, by using an agent-based methodology.…”

Section: Role Of Computational Biology In the Response To Covid-19mentioning

confidence: 99%

Immune-checkpoint inhibitors from cancer to COVID‑19: A promising avenue for the treatment of patients with COVID‑19 (Review)

et al. 2020

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“… Pennisi et al (2013) and Pappalardo et al (2020) investigated the cause of chronic inflammation in relapsing remitting multiple sclerosis using AB techniques. This framework was further developed into the Universal Immune System Simulator (UISS), which is now also used to investigate immunotherapy in cancer ( Gianì et al, 2018 ) and the development of vaccines for Tuberculosis ( Russo et al, 2020b ) and Sars-Cov2 ( Russo et al, 2020a ).…”

Section: In Silico Modelingmentioning

confidence: 99%

Towards in silico Models of the Inflammatory Response in Bone Fracture Healing

Lafuente-Gracia

Borgiani

Nasello

et al. 2021

Front. Bioeng. Biotechnol.

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In silico modeling is a powerful strategy to investigate the biological events occurring at tissue, cellular and subcellular level during bone fracture healing. However, most current models do not consider the impact of the inflammatory response on the later stages of bone repair. Indeed, as initiator of the healing process, this early phase can alter the regenerative outcome: if the inflammatory response is too strongly down- or upregulated, the fracture can result in a non-union. This review covers the fundamental information on fracture healing, in silico modeling and experimental validation. It starts with a description of the biology of fracture healing, paying particular attention to the inflammatory phase and its cellular and subcellular components. We then discuss the current state-of-the-art regarding in silico models of the immune response in different tissues as well as the bone regeneration process at the later stages of fracture healing. Combining the aforementioned biological and computational state-of-the-art, continuous, discrete and hybrid modeling technologies are discussed in light of their suitability to capture adequately the multiscale course of the inflammatory phase and its overall role in the healing outcome. Both in the establishment of models as in their validation step, experimental data is required. Hence, this review provides an overview of the different in vitro and in vivo set-ups that can be used to quantify cell- and tissue-scale properties and provide necessary input for model credibility assessment. In conclusion, this review aims to provide hands-on guidance for scientists interested in building in silico models as an additional tool to investigate the critical role of the inflammatory phase in bone regeneration.

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In Silico Trial to test COVID-19 candidate vaccines: a case study with UISS platform

Cited by 11 publications

References 50 publications

Toward computational modelling on immune system function

Toward computational modelling on immune system function

Immune-checkpoint inhibitors from cancer to COVID‑19: A promising avenue for the treatment of patients with COVID‑19 (Review)

Towards in silico Models of the Inflammatory Response in Bone Fracture Healing

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