SOURCE-LINKED INTELLIGENCE

Computer aided de novo design of nanobodies

CORDIS · observation · Publication date unknown

ity of targeting a precise epitope and not rely on serendipity as when injecting an animal with an antigen. In recent years, there have been significant advances in protein design based on the use of artificial intelligence and precise force fields. Despite this, the majority of the companies that work on antibody design combine rational engineering with massive proprietary screening methods, and so far, there are no reported cases of fully de novo design of an antibody with nM affinity against a defined epitope. Using an interleukin receptor as a case study, we have shown that we can indeed fully design de novo a nanobody that recognizes the target with nM affinity, using our proprietary protein design software FoldX and ModelX. Experts consulted to date indicate that the results obtained so far are truly impressive, prompting us to continue validating and optimising our process. Our proposal has two main objectives: First, to fully automate our pipeline that involves epitope selection, antibody framework selection and docking, backbone move and side chain search. Second, demonstra

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR