LabGenius and Antha: Combining active learning with Antha’s multifactorial optimisation for a single-stranded DNA (ssDNA) extension reaction
Company Size
11-200
Region
- Europe
Country
- United Kingdom
Product
- Antha
- EVA platform
- Gilson PIPETMAX
Tech Stack
- Machine Learning
- AI-driven DNA library design
- Liquid Handling Automation
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Innovation Output
- Productivity Improvements
Technology Category
- Analytics & Modeling - Machine Learning
- Functional Applications - Remote Monitoring & Control Systems
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Life Sciences
- Pharmaceuticals
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Digital Twin
- Predictive Quality Analytics
- Process Control & Optimization
Services
- Software Design & Engineering Services
- System Integration
About The Customer
LabGenius is a biotechnology company that has developed EVA, an autonomous AI-driven evolution engine for the discovery of next-generation protein therapeutics. They use their cutting-edge platform technology to develop new protein-based drugs in collaboration with world-leading pharmaceutical companies. The EVA platform utilizes an AI-driven DNA library design strategy to plan, optimize, and physically execute the production of superior quality DNA libraries encoding a host of evolved therapeutic proteins. These proteins range from enzymes to antibodies, with engineering objectives that include improved or altered binding affinity, specificity, thermostability, or resistance to proteases. LabGenius started working with Antha in 2017 and has since automated upwards of 20 unique workflows of value to them.
The Challenge
LabGenius faced the challenge of optimizing the single-stranded DNA (ssDNA) extension process, a critical step in their DNA library generation method. The process required different priming oligonucleotides for each ssDNA extension reaction, making it necessary to re-optimize the extension process for every new DNA library fragment. This repeated context-specific optimization was extremely challenging to execute manually due to the number of experimental runs and the complexity of the experimental designs. The need to recover maximum diversity during the single strand extension of DNA fragments encoding degeneracy was critical to the EVA platform. Manual execution within the expected time frames of DNA library generation was not feasible, necessitating an automated solution.
The Solution
LabGenius integrated Antha into their EVA platform to automate and optimize the ssDNA extension process. Antha enabled LabGenius to physically execute multifactorial experimental designs in an automated and autonomous manner. This integration allowed LabGenius to autonomously design, plan, and execute process optimization as part of their end-to-end platform. Antha's rapid and flexible digital interpretation and physical execution of complex multifactorial experimental designs provided a reusable framework to identify robust experimental conditions. This framework achieved double-stranded DNA (dsDNA) recovery efficiencies above the required minimum threshold for maximizing DNA library diversity. The automated multifactorial design interpretation, experimental planning, and execution by Antha provided significant time savings compared to manual execution. Antha's DoE suite of elements allowed LabGenius to rapidly and flexibly define an automated liquid handling protocol, simulating all low-level liquid handling instructions interpreted from a DoE design file. This facilitated the execution of experimental runs on a Gilson PIPETMAX™ liquid handling platform, providing extensive time and resource savings.
Operational Impact
Quantitative Benefit
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