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Synthetic biology just got its own special programming language

Being able to create and control discrete chemical and biological processes and reactions is extremely difficult, this new language aims to simplify it, alot.

Key takeaways

  • The solution to this greatest of challenges, apparently, is to create a new programming language that lets people apply the concepts of computer programming to biology and its molecular components.
  • In the paper, they go into detail about the new language and build a compiler that translates CRN++ programs into biological and chemical reactions.
  • By creating the CRN++ language the team hopes people can use it as a way to express the behaviour of chemical reactions in a more intuitive way.
Cite or link to this article

Griffin, M. (2018) 'Synthetic biology just got its own special programming language', 311 Institute, 21 October. Available at: https://www.311institute.com/synthetic-biology-just-got-its-own-special-programming-language/ (Accessed: 1 October 2026).

Synthetic biology is an exciting new field of research that applies engineering principles to biology, and so far it’s being used to create everything from new alien bacteria and in vivo gene editing therapies that cure inherited genetic diseases in living patients, and one day it might be used to help grow, rather than build, everything from biological computers and DNA neural networks, to cities and even superyachts.

It also has the potential to revolutionise a number of other fields including computing, communications, electronics, healthcare and manufacturing, but one of the biggest challenges the field faces is that of “embedding computation in molecular contexts, in situations where electronic micro-controllers cannot be inserted,” say researchers. In other words, being able to “build” biological and chemical reactions in the same way we build software today.

The solution to this greatest of challenges, apparently, is to create a new programming language that lets people apply the concepts of computer programming to biology and its molecular components. And now a team of researchers from the University of Texas at Austin have answered the call by creating CRN++, a “new language for programming deterministic (mass-action) chemical kinetics in performing computations.”

The research team's work has been pre-published on arXiv. In the paper, they go into detail about the new language and build a compiler that translates CRN++ programs into biological and chemical reactions.

"A key technical challenge of synthetic biology is to design a chemical controller that interacts within a cellular environment, [to] achieve a particular task," said Marko Vasic, one of the researchers who carried out the study.

"To achieve this, it is necessary to both engineer synthetic molecules and program them. Molecules interact with each other via chemical reactions, and by programming molecules, we can control the ‘defining interaction rules’ (chemical reactions) between them all."

While there have been exciting developments recently in DNA synthesis that have opened doors for molecule engineering researchers still have to think of how best to generate the chemical reactions they need to achieve a specific goal.

By creating the CRN++ language the team hopes people can use it as a way to express the behaviour of chemical reactions in a more intuitive way. The language's development team explain that CRN++ is based on two ideas - modularity and the use of an oscillator which directs the code.

"To the best of our knowledge, we are the first to provide an imperative programming language that complies with chemical reaction networks," Vasic said. "We open-sourced our code, including CRN++, as well as simulation framework, as we hope that this will make it easier for researchers to try out new approaches, and thus advance the area further."

The new language will likely help scientists working in the field of synthetic biology achieve some of the field's broad aims including creating a catalogue of “standardised biological parts that can be used and synthesised quickly to build novel biological systems,” which in decades to come will have an influence on every corner of society.

So let it be said, that one day we will truly be able to “code life.”

Source: arXiv

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Being able to create and control discrete chemical and biological processes and reactions is extremely difficult, this new language aims to simplify it, alot.

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

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Sources and further reading

  1. University of Texas at Austin utexas.edu
  2. 1809.07430 arxiv.org
  3. 1809.07430v1.pdf arxiv.org
  4. 2018 10 molecular language crn techxplore.com

Source: first published by the 311 Institute on 21 October 2018. Cite as: Griffin, M. (2018). Synthetic biology just got its own special programming language. 311 Institute. https://www.311institute.com/synthetic-biology-just-got-its-own-special-programming-language/

You are welcome to quote this article with credit and a link to the original.

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