Ginkgo Bioworks Launches New Protein LLM and Model API Built on Google Cloud Technology
Rhea-AI Summary
Ginkgo Bioworks (NYSE: DNA) has launched two new offerings to accelerate drug development, building on its partnership with Google Cloud. The first is a protein large language model (LLM) built with Google Cloud Consulting, designed to give researchers and companies insights from Ginkgo's private data. The second is a model API, allowing direct access to biological AI models.
The protein LLM, one of the first of its kind in the industry, will be available on Google Cloud's Vertex AI Model Garden. The model API is already publicly accessible on Ginkgo's website. These tools aim to streamline research pipelines, optimize lead identification, and bring medicines to market faster. Ginkgo's first model, ginkgo-AA-0-650m, is trained on over 2 billion proprietary protein sequences.
Positive
- Launch of a protein large language model (LLM) to accelerate drug development
- Introduction of a model API for direct access to biological AI models
- Collaboration with Google Cloud enhancing AI capabilities
- Potential to streamline research pipelines and optimize lead identification in drug discovery
- Competitive pricing for API access, including a free tier
Negative
- None.
News Market Reaction
On the day this news was published, DNA gained 9.31%, reflecting a notable positive market reaction.
Data tracked by StockTitan Argus on the day of publication.
- Protein large language model (LLM) designed to help enterprises accelerate drug development coming to Google Cloud's Vertex AI Model Garden soon; one of the first-of-its-kind in the industry
- Model API programmable interface now available for individual scientists and researchers to quickly test and advance work
Jason Kelly, CEO of Ginkgo Bioworks: "I'm excited to see how the community builds on top of these models and our API. AA-0 is the first model we have released trained on Ginkgo's proprietary data – we're opening it to data scientists and bioinformaticians so they can build new models and applications on top. We believe that the low cost for tokens and our other customer-friendly terms, like the lack of royalties, and our commitment to not re-use customer data, will allow users to build tools like iterative protein design programs that call our protein generation API or to use our embedding API to compute features for a clustering algorithm."
These new offerings demonstrate how Ginkgo is enabling the life sciences industry in new ways, helping them improve and accelerate the drug development process.
- Protein LLM for individual researchers and enterprise companies: Built on Vertex AI in collaboration with Google Cloud Consulting and trained on Ginkgo's extensive proprietary dataset, this and future LLMs empower companies to generate novel insights and accelerate the discovery of new therapeutics. By harnessing the power of AI to analyze and understand complex protein structures and interactions, researchers and enterprises can streamline their research pipelines, optimize lead identification, and ultimately bring life-saving medicines to market faster and more efficiently. Building on models that learn from Ginkgo's private data, unavailable to the public, can enable companies to unlock hidden patterns and potential therapeutic targets that would otherwise remain elusive.
- Open API for scientists and researchers: With this programmer-friendly ultra-low cost API, Ginkgo is making its internally-developed AI tools available to anyone. The interface provides an easy and scalable way to access sophisticated models trained on protein and DNA data, starting with its first release: a machine learning model trained on a proprietary Ginkgo dataset. (Read more about Ginkgo's first model — ginkgo-AA-0-650m, a large-scale model trained on 2+ billion proprietary Ginkgo protein sequences — here.)
Chris Sakalosky, vice president of Strategic Industries, Google Cloud: "Ginkgo's new protein LLM and open API mark a major step forward in making advanced AI tools accessible for drug discovery and biological research. By leveraging Google Cloud's infrastructure and AI capabilities, Ginkgo is empowering both enterprises and individual scientists to accelerate their work and drive innovation in the life sciences. Ginkgo is leading the way in democratizing access to cutting-edge AI models, to increase value to pharma companies using Ginkgo's platform and to ultimately help people live healthier lives."
Ginkgo has a multitude of models under development, spanning machine learning methods like language modeling and diffusion for conditional design. Ginkgo's first protein language model release will support two use-cases:
- Generation via Masked Language Modeling: given a sequence of amino acids with one or more <mask> tokens, the model will complete the sequence.
- Embedding calculation: Calculate the final hidden layer of the trained model to extract valuable representations for downstream tasks. To begin, Ginkgo's model returns the mean-pooled representation across the length axis.
Over the next year, Ginkgo will roll out more models and expand the API's capabilities, building a robust suite of tools that will enable you to solve complex problems in drug discovery, synthetic biology, genomics, and more using the latest machine learning methods. Access the portal today and be among the first to explore our new API.
Ankit Gupta, General Manager of Ginkgo AI: "Flexibility is everything. Alongside our first proprietary model, which leverages unique datasets from Ginkgo, you'll also have access to publicly available models like ESM2. This means you can explore and experiment with different approaches, all through a single streamlined platform. We're also deeply committed to making advanced machine learning tools accessible, which is why our API comes with competitive pricing and a free tier. We've structured our costs to make it easy for you to jump in, experiment, and get predictions without worrying about high fees. Our initial models will have a free tier and our introductory pricing is approximately
About Ginkgo Bioworks
Ginkgo Bioworks is the leading horizontal platform for cell programming, providing flexible, end-to-end services that solve challenges for organizations across diverse markets, from food and agriculture to pharmaceuticals to industrial and specialty chemicals. Ginkgo Biosecurity is building and deploying the next-generation infrastructure and technologies that global leaders need to predict, detect, and respond to a wide variety of biological threats. For more information, visit ginkgobioworks.com and ginkgobiosecurity.com, read our blog, or follow us on social media channels such as X (@Ginkgo and @Ginkgo_Biosec), Instagram (@GinkgoBioworks), Threads (@GinkgoBioworks), or LinkedIn.
GINKGO BIOWORKS INVESTOR CONTACT:
investors@ginkgobioworks.com
GINKGO BIOWORKS MEDIA CONTACT:
press@ginkgobioworks.com
Forward-Looking Statements of Ginkgo Bioworks
This press release contains certain forward-looking statements within the meaning of the federal securities laws, including statements regarding the capabilities and potential success of the partnership, Ginkgo's model API and Ginkgo's cell programming platform. These forward-looking statements generally are identified by the words "believe," "can," "project," "potential," "expect," "anticipate," "estimate," "intend," "strategy," "future," "opportunity," "plan," "may," "should," "will," "would," "will be," "will continue," "will likely result," and similar expressions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release, including but not limited to: (i) volatility in the price of Ginkgo's securities due to a variety of factors, including changes in the competitive and highly regulated industries in which Ginkgo operates and plans to operate, variations in performance across competitors, and changes in laws and regulations affecting Ginkgo's business, (ii) the ability to implement business plans, forecasts, and other expectations, and to identify and realize additional business opportunities, (iii) the risk of downturns in demand for products using synthetic biology, (iv) the uncertainty regarding the demand for passive monitoring programs and biosecurity services, (v) changes to the biosecurity industry, including due to advancements in technology, emerging competition and evolution in industry demands, standards and regulations, (vi) the outcome of any pending or potential legal proceedings against Ginkgo, (vii) our ability to realize the expected benefits from and the success of our Foundry platform programs, (viii) our ability to successfully develop engineered cells, bioprocesses, data packages or other deliverables, and (ix) the product development or commercialization success of our customers. The foregoing list of factors is not exhaustive. You should carefully consider the foregoing factors and the other risks and uncertainties described in the "Risk Factors" section of Ginkgo's annual report on Form 10-K filed with the
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SOURCE Ginkgo Bioworks
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