Generating ‘smarter’ biotechnology
In 2022 we saw the launch of breakthrough artificial intelligence tools such as DALL-E 2 and ChatGPT, both from OpenAI. For the average user, these tools seem fun and exciting to play with. DALL-E 2 is able to generate images based on the input of text descriptions, whereas ChatGPT is a natural language model that can generate text and answer questions.
As an example, traditional methods for protein engineering involve performing either iterative mutagenesis and selection of protein sequences or de novo rational design that create proteins with desired properties, both structural and sequence-specific. Generative AI has the potential to change this protocol, making it easier to generate artificial protein sequences from scratch.
For researchers and students, an ‘open research laboratory’ that looks to intersect AI and biology called OpenBioML has been developed. OpenBioML is backed by Stability AI with the aim of democratizing the technology by providing large-scale computational resources to collaborative research projects.
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