High-Throughput Production and Deep Characterization of VHH Antibodies: Unlocking Biophysical and Functional Insights for AI/ML-Driven Therapeutic Discovery

 

This webinar explores how combining in silico and in vitro methods provides a blueprint for accelerating biologic development by validating VHH antibody designs with real-world data. 

Hoa Giang
Presented by
Hoa Giang
Senior Director, Antibody Services, Twist Bioscience

Covered in this Webinar
The Therapeutic Nanobody Profiler (TNP) was created to predict how well novel biologics can be manufactured and stored, addressing a major challenge in nanobody development.
Combining in silico (computational) models with in vitro (wet lab) experiments creates a superior feedback loop for accelerating therapeutic design.
Twist Bioscience's high-throughput experimental analysis of large nanobody sets provided the real-world data needed to ground and validate the TNP tool's predictive accuracy.
New results suggest the "framework 2" motif, traditionally thought essential for VHH solubility and stability, may not be the primary driver of these traits.
VHH molecules discovered through these in vitro and in vivo platforms demonstrate performance parity with molecules currently in clinical-stage development.
The study assessed over 100 samples, including every VHH format binder that has successfully entered clinical trials.

Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions. For research use only, not for use in diagnostic procedures. 

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