CORDIS Project
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This project aims to create a high-throughput method for designing and screening millions of single-domain camelid antibodies that specifically target proteins. The approach combines computational design, DNA synthesis, and machine learning to enhance antibody discovery for biomedical applications.
We propose to develop the first high-throughput strategy to design, synthesize, and screen repertoires comprising millions of single-domain camelid antibodies (VHH) that target desired protein surfaces.
Each VHH will be individually designed for high stability and target-site affinity.
We will leverage recent methods developed by our lab for designing stable, specific, and accurate backbones at interfaces, the advent of massive and affordable custom-DNA oligo synthesis, and machine learning meth…
WEIZMANN INSTITUTE OF SCIENCE
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