BioModME for building and simulating dynamic computational models of complex biological systems

被引:0
|
作者
Womack, Justin A. [1 ,2 ]
Shah, Viren [1 ,2 ]
Audi, Said H. [1 ,2 ]
Terhune, Scott S. [1 ,3 ,5 ]
Dash, Ranjan K. [1 ,2 ,4 ,5 ]
机构
[1] Med Coll Wisconsin, Dept Biomed Engn, Milwaukee, WI 53226 USA
[2] Marquette Univ, Dept Biomed Engn, Milwaukee, WI 53223 USA
[3] Med Coll Wisconsin, Dept Microbiol & Immunol, Milwaukee, WI 53226 USA
[4] Med Coll Wisconsin, Dept Physiol, Milwaukee, WI 53226 USA
[5] Med Coll Wisconsin, Dept Biomed Engn, 8701 Watertown Plank Rd, Milwaukee, WI 53226 USA
来源
BIOINFORMATICS ADVANCES | 2024年 / 4卷 / 01期
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
D O I
10.1093/bioadv/vbae023
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Molecular mechanisms of biological functions and disease processes are exceptionally complex, and our ability to interrogate and understand relationships is becoming increasingly dependent on the use of computational modeling. We have developed "BioModME," a standalone R-based web application package, providing an intuitive and comprehensive graphical user interface to help investigators build, solve, visualize, and analyze computational models of complex biological systems. Some important features of the application package include multi-region system modeling, custom reaction rate laws and equations, unit conversion, model parameter estimation utilizing experimental data, and import and export of model information in the Systems Biology Matkup Language format. The users can also export models to MATLAB, R, and Python languages and the equations to LaTeX and Mathematical Markup Language formats. Other important features include an online model development platform, multi-modality visualization tool, and efficient numerical solvers for differential-algebraic equations and optimization. Availability and implementation All relevant software information including documentation and tutorials can be found at https://mcw.marquette.edu/biomedical-engineering/computational-systems-biology-lab/biomodme.php. Deployed software can be accessed at https://biomodme.ctsi.mcw.edu/. Source code is freely available for download at https://github.com/MCWComputationalBiologyLab/BioModME.
引用
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页数:4
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