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AI-Powered Synthetic Biology: Emerging Technologies and Biosecurity

Special Issue Information

Dear Colleagues,

Synthetic biology, the engineering of biological systems, is undergoing a revolution with the integration of artificial intelligence (AI). This powerful combination holds immense promise for advancements in medicine, agriculture, environmental solutions and biomanufacturing.

AI can accelerate the design and creation of novel organisms, optimize biological processes and unlock entirely new functionalities, such as engineering microorganisms to clean up pollutants or producing biofuels. Deep learning can analyze vast datasets to identify patterns and predict the behaviors of complex biological systems. Generative AI can then design novel biomolecules with the desired functionalities, such as the development of new enzymes, therapeutic molecules and efficacious gene circuits. Thus, AI-powered synthetic biology has the potential to revolutionize various fields and significantly improve human health and well-being in the future.

However, this exciting frontier also raises critical biosecurity concerns. The very tools that can create life-saving therapies could potentially also be used to develop harmful biological agents. Therefore, we need to explore the intersection of AI and synthetic biology, highlighting the potential benefits, the emerging biosecurity risks, and the need for responsible development, which includes ethical considerations and effective governance frameworks.

In this Special Issue, authors are invited to publish original research articles, reviews and opinions on various aspects of AI-powered synthetic biology.

Dr. Masahito Yamagata
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. SynBio is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • deep learning
  • generative AI
  • genome design
  • designer protein
  • precision medicine
  • engineering biology
  • gene drive
  • biosecurity
  • bioethics
  • dual-use research

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SynBio - ISSN 2674-0583