Cargando…

Enabling AI in synthetic biology through Construction File specification

The Construction File (CF) specification establishes a standardized interface for molecular biology operations, laying a foundation for automation and enhanced efficiency in experiment design. It is implemented across three distinct software projects: PyDNA_CF_Simulator, a Python project featuring a...

Descripción completa

Detalles Bibliográficos
Autores principales: Ataii, Nassim, Bakshi, Sanjyot, Chen, Yisheng, Fernandez, Michael, Shao, Zihang, Scheftel, Zachary, Tou, Connor, Vega, Mia, Wang, Yuting, Zhang, Hanxiao, Zhao, Zexuan, Anderson, J. Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642840/
https://www.ncbi.nlm.nih.gov/pubmed/37956196
http://dx.doi.org/10.1371/journal.pone.0294469
_version_ 1785147035860598784
author Ataii, Nassim
Bakshi, Sanjyot
Chen, Yisheng
Fernandez, Michael
Shao, Zihang
Scheftel, Zachary
Tou, Connor
Vega, Mia
Wang, Yuting
Zhang, Hanxiao
Zhao, Zexuan
Anderson, J. Christopher
author_facet Ataii, Nassim
Bakshi, Sanjyot
Chen, Yisheng
Fernandez, Michael
Shao, Zihang
Scheftel, Zachary
Tou, Connor
Vega, Mia
Wang, Yuting
Zhang, Hanxiao
Zhao, Zexuan
Anderson, J. Christopher
author_sort Ataii, Nassim
collection PubMed
description The Construction File (CF) specification establishes a standardized interface for molecular biology operations, laying a foundation for automation and enhanced efficiency in experiment design. It is implemented across three distinct software projects: PyDNA_CF_Simulator, a Python project featuring a ChatGPT plugin for interactive parsing and simulating experiments; ConstructionFileSimulator, a field-tested Java project that showcases ’Experiment’ objects expressed as flat files; and C6-Tools, a JavaScript project integrated with Google Sheets via Apps Script, providing a user-friendly interface for authoring and simulation of CF. The CF specification not only standardizes and modularizes molecular biology operations but also promotes collaboration, automation, and reuse, significantly reducing potential errors. The potential integration of CF with artificial intelligence, particularly GPT-4, suggests innovative automation strategies for synthetic biology. While challenges such as token limits, data storage, and biosecurity remain, proposed solutions promise a way forward in harnessing AI for experiment design. This shift from human-driven design to AI-assisted workflows, steered by high-level objectives, charts a potential future path in synthetic biology, envisioning an environment where complexities are managed more effectively.
format Online
Article
Text
id pubmed-10642840
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-106428402023-11-14 Enabling AI in synthetic biology through Construction File specification Ataii, Nassim Bakshi, Sanjyot Chen, Yisheng Fernandez, Michael Shao, Zihang Scheftel, Zachary Tou, Connor Vega, Mia Wang, Yuting Zhang, Hanxiao Zhao, Zexuan Anderson, J. Christopher PLoS One Research Article The Construction File (CF) specification establishes a standardized interface for molecular biology operations, laying a foundation for automation and enhanced efficiency in experiment design. It is implemented across three distinct software projects: PyDNA_CF_Simulator, a Python project featuring a ChatGPT plugin for interactive parsing and simulating experiments; ConstructionFileSimulator, a field-tested Java project that showcases ’Experiment’ objects expressed as flat files; and C6-Tools, a JavaScript project integrated with Google Sheets via Apps Script, providing a user-friendly interface for authoring and simulation of CF. The CF specification not only standardizes and modularizes molecular biology operations but also promotes collaboration, automation, and reuse, significantly reducing potential errors. The potential integration of CF with artificial intelligence, particularly GPT-4, suggests innovative automation strategies for synthetic biology. While challenges such as token limits, data storage, and biosecurity remain, proposed solutions promise a way forward in harnessing AI for experiment design. This shift from human-driven design to AI-assisted workflows, steered by high-level objectives, charts a potential future path in synthetic biology, envisioning an environment where complexities are managed more effectively. Public Library of Science 2023-11-13 /pmc/articles/PMC10642840/ /pubmed/37956196 http://dx.doi.org/10.1371/journal.pone.0294469 Text en © 2023 Ataii et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ataii, Nassim
Bakshi, Sanjyot
Chen, Yisheng
Fernandez, Michael
Shao, Zihang
Scheftel, Zachary
Tou, Connor
Vega, Mia
Wang, Yuting
Zhang, Hanxiao
Zhao, Zexuan
Anderson, J. Christopher
Enabling AI in synthetic biology through Construction File specification
title Enabling AI in synthetic biology through Construction File specification
title_full Enabling AI in synthetic biology through Construction File specification
title_fullStr Enabling AI in synthetic biology through Construction File specification
title_full_unstemmed Enabling AI in synthetic biology through Construction File specification
title_short Enabling AI in synthetic biology through Construction File specification
title_sort enabling ai in synthetic biology through construction file specification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642840/
https://www.ncbi.nlm.nih.gov/pubmed/37956196
http://dx.doi.org/10.1371/journal.pone.0294469
work_keys_str_mv AT ataiinassim enablingaiinsyntheticbiologythroughconstructionfilespecification
AT bakshisanjyot enablingaiinsyntheticbiologythroughconstructionfilespecification
AT chenyisheng enablingaiinsyntheticbiologythroughconstructionfilespecification
AT fernandezmichael enablingaiinsyntheticbiologythroughconstructionfilespecification
AT shaozihang enablingaiinsyntheticbiologythroughconstructionfilespecification
AT scheftelzachary enablingaiinsyntheticbiologythroughconstructionfilespecification
AT touconnor enablingaiinsyntheticbiologythroughconstructionfilespecification
AT vegamia enablingaiinsyntheticbiologythroughconstructionfilespecification
AT wangyuting enablingaiinsyntheticbiologythroughconstructionfilespecification
AT zhanghanxiao enablingaiinsyntheticbiologythroughconstructionfilespecification
AT zhaozexuan enablingaiinsyntheticbiologythroughconstructionfilespecification
AT andersonjchristopher enablingaiinsyntheticbiologythroughconstructionfilespecification