Case Studies LabGenius and Antha: Combining active learning with Antha’s multifactorial optimisation for a single-stranded DNA (ssDNA) extension reaction
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LabGenius and Antha: Combining active learning with Antha’s multifactorial optimisation for a single-stranded DNA (ssDNA) extension reaction

Analytics & Modeling - Machine Learning
Platform as a Service (PaaS) - Data Management Platforms
Functional Applications - Remote Monitoring & Control Systems
Life Sciences
Pharmaceuticals
Product Research & Development
Quality Assurance
Predictive Quality Analytics
Process Control & Optimization
Digital Twin
System Integration
Software Design & Engineering Services
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.
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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.
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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.
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Antha enabled LabGenius to physically execute multifactorial experimental designs in an automated and autonomous manner, optimizing their ssDNA extension process.
The integration of Antha allowed LabGenius' EVA platform to autonomously optimize and facilitate library generation and construction above a minimum efficiency threshold.
Antha's automated multifactorial design interpretation, experimental planning, and execution provided significant time savings compared to manual execution.
Antha provided up to a 70% time saving on experimental design and execution.
Antha reduced lab consumable use by up to 30%.
The automated multifactorial design interpretation, experimental planning, and execution by Antha provided up to 15 hours time saving per DNA Library optimization.
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