# Sbml

- **Website:** <https://sbml.org>
- **Primary alias:** `sbml.org`

## Description

SBML is a cutting-edge representation format that utilizes XML to effectively communicate and store computational models of various biological processes. It offers a versatile platform for representing different classes of biological phenomena, including metabolic networks, cell signaling pathways, regulatory networks, and infectious diseases, among others. Developed through the collaborative efforts of numerous experts and researchers, SBML has received support from multiple agencies and institutions. You can delve deeper into its development by exploring the provided links. SBML is interconnected with COMBINE, the COmputational Modeling in BIology NEtwork, which focuses on synchronizing the efforts of numerous community standards and formats. To stay updated with the latest advancements in SBML, you can actively engage in the discussion forums and mailing lists. If you encounter any issues, please don't hesitate to report them. SBML serves as a crucial tool for understanding and analyzing complex biological systems and is widely recognized for its reliability and scientific rigor.

## Industries

- 🧪 Science and Education
- 🧪 Biology _(under Science and Education)_

## Links

- [github](https://github.com/sbmlteam)

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idEnaRb9xp/w/820/h/131/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1720272525115)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Malibu | #6cd0f6 | accent |
| Cod Gray | #111111 | dark |
| White | #ffffff | light |

## Fonts

- Heebo — asset _(google)_
- -apple-system — asset _(system)_

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_Source: <https://brandfetch.com/sbml.org>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._