Xencor. has been granted a patent for antibodies, including novel antigen binding domains and heterodimeric antibodies, that specifically target somatostatin receptor 2 (SSTR2). The patent includes a claim for a specific SSTR2 antigen binding domain with high amino acid sequence identity to designated sequences. GlobalData’s report on Xencor 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 Xencor, Personalized cancer vaccines was a key innovation area identified from patents. Xencor's grant share as of July 2024 was 35%. Grant share is based on the ratio of number of grants to total number of patents.
Antibodies binding to somatostatin receptor 2 (sstr2)
The granted patent US12054545B2 outlines a novel somatostatin receptor type 2 (SSTR2) antigen binding domain characterized by specific amino acid sequences. Claim 1 details the composition of this binding domain, which includes a variable heavy domain and a variable light domain, each exhibiting at least 90% identity to designated amino acid sequences (SEQ ID NO:958 and SEQ ID NO:962, respectively). Claim 2 specifies that the binding domain can consist of these exact sequences. Additionally, claims 3 and 4 introduce a nucleic acid composition and an expression vector composition, respectively, that encode the variable heavy and light domains, facilitating the production of the SSTR2 binding domain.
Further, the patent encompasses a host cell that contains the nucleic acid or expression vector compositions, as described in claims 5 and 6. The method outlined in claim 6 involves culturing the host cell under conditions that promote the expression of the SSTR2 binding domain, followed by the recovery of the expressed domain. This patent presents a comprehensive framework for the development and production of SSTR2 antigen binding domains, which may have significant implications for therapeutic applications targeting the somatostatin receptor.
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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
