Paris, June 2025–
Partex has reduced the end-to-end timeline for antibody optimization from > 700 hours to 48 hours – a reduction by 93%. This enables faster, cost-effective development of therapeutic antibodies for neurodegenerative disease targets, leveraging cutting-edge GPU-accelerated structure prediction and molecular dynamics simulations.
An In-house developed AI/ML antibody design solution accelerated by NVIDIA Hopper GPUs made this breakthrough possible.
Partex improved the binding affinity and specificity of Light Chain Bioscience’s antibody sequences targeting an antigen associated with neurodegeneration.
Light Chain Bioscience, (LCB) is a Swiss Biotechnology company with a focus to bring native bispecific therapeutics to patients with unmet medical needs like neurodegenerative and infectious diseases.
Partex collaborated with protein engineering and neuroscience experts from LCB to build end to end AI workflow for traditional lead generation and selection process. The input dataset included light and heavy chain sequences, binding affinity values, and target characteristics, derived using phage display techniques.
"Our joint efforts to develop an end to end AI workflow enhanced the optimization process and increased diversity of sequences found to bind the targets of interest," said Jean-Philippe Courade, CSO, discoveric bio alpha Ltd.
Partex implemented a two-tiered pipeline integrating AI-guided sequence generation and GPU-accelerated structural modeling, built on NVIDIA.
Process | Previous Time | New Time | Time Saved |
---|---|---|---|
Raw Data Analysis | 120 hrs | 1 hr | 99.17% |
Sequence Generation | 72 hrs | 0.5 hr | 99.31% |
AI-Based Scoring | 144 hrs | 9 hrs | 93.75% |
Sequence Selection | 72 hrs | 3 hrs | 95.83% |
Structural Analysis | 288 hrs | 34 hrs | 88.19% |
Prioritization Matrix | 72 hrs | 0.5 hr | 99.31% |
The revamped antibody engineering pipeline is now capable of completing a full optimization cycle in just 2 days, compared to the traditional multi-week process. Key outcomes:
"With this GPU-accelerated pipeline, we are enabling the next generation of biologic design—delivering quality, speed, and reproducibility at a scale previously impossible," said Dr. Gunjan Bhardwaj, CEO & Co-Founder, Partex.
Partex’s AI/ML antibody design solution, powered by NVIDIA Hopper GPUs, AlphaFold2 Multimer, and GROMACS containers, represents a breakthrough in AI-driven drug discovery and Agentic AI. The platform allows researchers to: