COSYS is an open computational platform designed for the Systems Biology community. Designed to help life scientists to easily access basilar systems biology tools, it can be also used with effectiveness by skilled systems biologists. Cooperation-driven and user-friendly, COSYS is a unified tool for biological modeling (mechanistic and constraint-based), simulation and analysis, providing users with the cutting edge of GPU-powered computation. COSYS is free of charge, and can be used by everyone.
View this resource Bookmark this resourceIn silico
In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials
Published by Nature Communications
Clinical TrialsIn silicovirtual patientsIn-silico trials rely on virtual populations and interventions simulated using patient-specific model and may offer a solution to lower these costs. In this article, It is presented the flow diverter performance assessment (FD-PASS) in-silico trial, which model the treatment of intracranial aneurysms in 164 virtual patients with 82 distinct anatomies with a flow-diverting stent, using computational fluid dynamics to quantify post-treatment flow reduction
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How In Silico Modelling is Changing Our Approach to Drug Development and Clinical Research
Published by Proventa International
In silicoThis article introduces In silico modelling concepts and how these models are changing the drug development and the clinical research.
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Synthetic Biology Open Language (SBOL)
Published by Journal of Integrative Bioinformatics
In silicoSBOLSynthetic Biology Open LanguageThe synthetic biology open language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, filling a need not satisfied by other pre-existing standards. This document details version 2.3.0 of SBOL. SBOL 2.3.0 includes means of succinctly representing sequence modifications, such as insertion, deletion, and replacement, an extension to support organization and attachment of experimental data derived from designs, and an extension for describing numerical parameters of design elements.
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COmputational Modeling in BIology Network (COMBINE)
Published by COmputational Modeling in BIology NEtwork
computational modelsIn silico modelsThe “COmputational Modeling in BIology NEtwork” (COMBINE) is an initiative to coordinate the development of the various community standards and formats for computational models. By doing so, it is expected that the federated projects will develop a set of interoperable and non-overlapping standards covering all aspects of modeling in biology
View this resource Bookmark this resourceA European standardization framework for data integration and data-driven in silico models
for personalised medicine
Towards standardization guidelines for in silico approaches in personalized medicine
Published by Journal of Integrative Bioinformatics
In silicopersonalized medicineThis article describes the activity of the EU-STANDS4PM, a consortium intended to evaluate strategies for data integration and data-driven in silico modelling approaches to develop standards, recommendations and guidelines for personalized medicine,
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