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Updated: Apr 29, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

Bio Simulators: a web UI for biological simulation.

Michael Pedersen¹, Nicolas Oury, Colin Gravill

¹Department of Plant Sciences, Cambridge University, Cambridge CB2 3EA, UK, School of Informatics, Edinburgh University, Edinburgh EH8 9AB, Scotland and Microsoft Research, Cambridge CB1 2FB, UK.

Bioinformatics (Oxford, England)

|January 29, 2014

Summary

This summary is machine-generated.

Bio Simulators offers a web-based framework for easily deploying cellular process modeling tools, overcoming installation barriers. This platform provides a unified interface to various simulation tools, enhancing accessibility for researchers.

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Area of Science:

Computational biology
Systems biology
Bioinformatics

Background:

Formal languages for cellular process modeling are emerging.
Simulation tools for these languages often have complex installation procedures.
This complexity presents a barrier to their widespread adoption and use.

Purpose of the Study:

To develop a framework for easy online deployment of cellular process simulators.
To provide a uniform web-based user interface for diverse simulation tools.
To demonstrate the framework's capabilities using the KaSim Kappa simulator.

Main Methods:

Developed the Bio Simulators framework for web-based deployment.
Created plugins for the KaSim Kappa simulator.
Implemented two versions: a browser-based simulator and a cloud-based simulator.

Main Results:

The Bio Simulators framework successfully integrates diverse simulation tools.
Two KaSim Kappa simulator plugins were developed and demonstrated.
The framework provides a uniform and accessible user interface.

Conclusions:

Bio Simulators simplifies the use of formal modeling languages for cellular processes.
The framework enhances accessibility by eliminating installation barriers.
It facilitates broader application of computational tools in biological research.