After selecting a binder, the client wanted to improve its potency by rationalising invitro maturation. Manual screening of mutations is labour-intensive and error-prone.

Our Approach

We applied AbQuery and Antibody-extractor to rationalise in-vitro maturation and implemented FAIR, data-driven practices.

• Abquery & Antibody-extractor: Identified and predicted beneficial mutations using Abquery and Antibody-extractor®, validated the predictions experimentally and identified three more potent binders.
• Data-driven & FAIR approach: Automated sequence analysis tasks, enabling validation in the wet lab, and emphasised FAIR data management to prevent errors.

The Outcome

• Demonstrated that in-silico prediction and rationalisation accelerate antibody maturation and can be validated experimentally.
• Automated data mining and analysis, reducing errors and saving time.
• Enabled more efficient, data-driven antibody discovery.

Why It Matters

Automated algorithms and FAIR data practices de-risk antibody discovery. By replacing manual screening with data-driven prediction, companies save time and avoid costly mistakes.