Tools for kinetic modeling of biochemical networks
- Manage
- Copy
- Actions
- Export
- Annotate
- Print Preview
Choose the export format from the list below:
- Office Formats (1)
-
Export as Portable Document Format (PDF) using Apache Formatting Objects Processor (FOP)
-
- Other Formats (1)
-
Export as HyperText Markup Language (HTML)
-
Rui Alves, Fernando Antunes, Armindo Salvador
Nature Biotechnology 24(6), pages 667–672
2006
The number of software packages for kinetic modeling of biochemical networks continues to grow. Although most packages share a common core of functionality, the specific capabilities and user interfaces of different packages mean that choosing the best package for a given task is not trivial. We compare 12 software packages with respect to their functionality, reliability, efficiency, user-friendliness and compatibility. Although most programs performed reliably in all numerical tasks tested, SBML compatibility and the set-up of multicompartmentalization are problematic in many packages. For simple models, GEPASI seems the best choice for non-expert users. For large-scale models, environments such as Jarnac/JDesigner are preferable, because they allow modular implementation of models. Virtual Cell is the most versatile program and provides the simplest and clearest functionality for setting up multicompartmentalization. |
Journals & Series
- Nature Biotechnology (NBT)
Publications / Personal
Publications / Views
Home
— clouds
tags | authors | editors | journals
— per year
2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014–1927
— per sort
in journal | in proc | chapters | books | edited | spec issues | editorials | entries | manuals | tech reps | phd th | others
— per status
online | in press | proof | camera-ready | revised | accepted | revision | submitted | draft | note
— services
ACM Digital Library | DBLP | IEEE Xplore | IRIS | PubMed | Google Scholar | Scopus | Semantic Scholar | Web of Science | DOI
Publication
— authors
Rui Alves, Fernando Antunes, Armindo Salvador
— status
published
— sort
article in journal
— publication date
2006
— journal
Nature Biotechnology
— volume
24
— issue
6
— pages
667–672
URLs