BioGeom and Dapple Biosciences Forge Strategic Partnership to Deliver an Integrated AI-Driven and High-Throughput Protein R&D Solution

Jul 22, 2024 15:27 CST Updated 15:27

BioGeometry

Large Molecule Drug Developer

DPBIO

Microfluidic chip, instrument, and reagent developer

Recently,Enterprises in Zhongguan Village Life Science ParkBioGeometryStrategic Cooperation Reached with ThunderBio Innovation Limited, a Leader in High-Throughput Wet Lab Experiments, jointly creating a comprehensive solution for software and hardware integration in protein research and development, to improve the quality and efficiency of the next generation of protein R&D.

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In recent years, generative artificial intelligence technologies represented by ChatGPT and Sora have developed rapidly.In the field of life sciences, following the revolutionary progress made by AlphaFold2, developed by Google DeepMind, in protein structure prediction, this year's AlphaFold3 technology, based on diffusion generative models, has expanded to predict the structures of all biomolecules and their interactions, drawing widespread attention from the industry.

BioGeometry focuses on building a generative AI protein design platform, empowering the entire biomanufacturing field.Its core team is a pioneer in the field of generative AI for molecular generation, having applied diffusion models to the 3D structure generation of molecules as early as 2021. They were one of the earliest teams to use diffusion generative models for 3D molecular structure generation, with the key paper GeoDiff ranking among the top 50 most cited papers in the AI field in 2022.

In June this year,BioGeometry Releases GeoFlow, a Generative AI Large Model for Protein Design, Capable of Simultaneously Handling Two Key Tasks: Structure Prediction and Protein DesignBased on BioGeometry's self-developed geometric deep learning foundational model and advanced flow matching model, GeoFlow has achieved the same level as AlphaFold3 in antigen-antibody complex structure prediction tasks. It is the first generative AI macromolecule design model in the industry to approach the level of AlphaFold3. Currently, GeoFlow has opened non-commercial public testing and is fully empowering the biopharmaceutical and synthetic biology fields, bringing customers a brand-new protein design and optimization experience.

Antigen-Antibody Complex Prediction Evaluation Results

In addition to precise model design, high-throughput wet-lab experimental capabilities are also key to the rapid and successful design of proteins. The CytoSpark High-Throughput Droplet Screening Platform, launched by ThunderBio Innovation Limited, is an excellent solution for addressing testing and screening challenges in the classic Design-Build-Test-Learn cycle. This platform features droplet generation, droplet injection, and sorting functions, with an ultra-high throughput of 10^7 per day, meeting the needs of large-library screening.

Unlike traditional flow cytometry, which is limited to analyzing fluorescent signals within cells or on membrane surfaces, this device can also screen based on the activity of cellular secreted metabolites and secreted enzymes, linking genotype with phenotype and significantly improving screening accuracy. Additionally, the platform features single-droplet printing technology, which allows direct localization of individual microbial bodies through activity, further enhancing screening efficiency. Currently, the platform has been applied in numerous fields such as single B-cell antibody discovery, enzyme evolution, and engineered strain screening.

This timeThunderBio Innovation Limited and BioGeometry join forces,Jointly Create a Comprehensive Solution for Protein R&D with Integrated Software and Hardware, will produce a 1+1>2 effect, not only canImprove the Overall Success Rate of the Project, from the perspective of the project cycle, it is also acceptable.Quickly Complete Design + Validation, helping partners stay one step ahead and seize the opportunity.

BioGeometry and ThunderBio Innovation Limited Jointly Create an Integrated Hardware-Software Intelligent Solution for Protein Research and Development