Twist Bioscience has been granted a patent for methods and compositions involving libraries of optimized antibodies, specifically targeting SARS-CoV-2 and ACE2. The patent includes a claim for a specific VHH antibody that binds to ACE2, detailing its variable domain and complementarity determining regions. GlobalData’s report on Twist Bioscience gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Twist Bioscience, Water gas shift catalysts was a key innovation area identified from patents. Twist Bioscience's grant share as of June 2024 was 19%. Grant share is based on the ratio of number of grants to total number of patents.
Optimized antibodies targeting ace2 protein for sars-cov-2
The granted patent US12018065B2 outlines several claims related to VHH antibodies that specifically bind to the ACE2 protein. Each claim details a unique VHH antibody characterized by a variable domain and a heavy chain region (VH) that includes three complementarity determining regions (CDRs): CDRH1, CDRH2, and CDRH3. The claims specify distinct amino acid sequences for these CDRs, which are referenced by their respective SEQ ID numbers. For instance, Claim 1 presents CDRH1, CDRH2, and CDRH3 with sequences identified as SEQ ID NO: 39, 89, and 139, respectively. Subsequent claims (Claims 2 to 4) provide alternative sequences for the CDRs, each associated with different SEQ ID numbers.
The specificity of these antibodies for the ACE2 protein suggests potential applications in therapeutic or diagnostic contexts, particularly in relation to diseases where ACE2 plays a critical role, such as COVID-19. The patent claims emphasize the structural diversity of the VHH antibodies, which may enhance their binding affinity and specificity to the ACE2 protein. By detailing the precise amino acid sequences of the CDRs, the patent provides a foundation for further research and development in antibody-based interventions targeting ACE2.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies
