COmputational Modeling in BIology Network (COMBINE)

Published by COmputational Modeling in BIology NEtwork

computational modelsIn silico models

The “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

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Synthetic Biology Open Language (SBOL)

Published by Journal of Integrative Bioinformatics

SBOLSynthetic Biology Open LanguageIn silico

The 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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Systems Biology Markup Language (SBML)

Published by SBML

In silicoSBML

SBML is a software data format for describing models in biology. It’s a little like HTML, but for formal models instead of web pages. It’s independent of any particular software tool and not limited to any particular field of the life sciences. It’s open and free.

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Jaqpot is a computational platform for in silico modelling of chemical compounds, that provides both access to its services both over a User Interface (GUI) and an Application Programming Interface (API). It is a cloud-ready application that uses the benefits of Java, R and Python, having incorporated functionality by various established and open-source machine learning and data analysis toolkits, while algorithms in any programming algorithm can be added to Jaqpot. A new version of the UI and API is in preparation and will be released within 2019

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In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials

Published by Nature Communications

Clinical TrialsIn silicovirtual patients

In-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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In Silico Model in Toxicology and Risk Assessment

Published by Frontiers Media

QSAR modelIn silicophysiologically-based kinetic and dynamic model

This article aims to address the latest developments in the area of In silico modelling and New approach methodologies (NAMs) including physiologically-based kinetic and dynamic (PBK-D) model, In silico model for the prediction of toxicological such as QSAR model and machine learning algorithms, the use of quantitative adverse outcome pathways for hazard characterisation of chemicals to cite but a few

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