Sysmex has patented a method to enhance thermal stability of antibodies by modifying specific amino acid residues in the heavy chain. The modified antibodies show improved thermal stability compared to unmodified ones. The modified antibodies can be of various types like Fab, IgG, IgA, etc. GlobalData’s report on Sysmex 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 Sysmex, Laboratory automation robots was a key innovation area identified from patents. Sysmex's grant share as of January 2024 was 37%. Grant share is based on the ratio of number of grants to total number of patents.
Method for improving thermal stability of antibodies
A recently granted patent (Publication Number: US11884741B2) outlines a method for enhancing the thermal stability of antibodies. The method involves modifying specific amino acid residues in the heavy chain of the antibody, converting them to cysteine residues based on established methods like Kabat and IMGT. By making these changes, the modified antibody demonstrates improved thermal stability compared to its unmodified counterpart. The modified antibody can belong to various antibody classes such as Fab, Fab', F(ab')2, reduced IgG, IgG, IgA, IgM, IgD, or IgE, broadening the scope of potential applications for this innovation.
Furthermore, the patent details additional steps to enhance the stability of the modified antibody, including forming disulfide bonds between the cysteine residues at specific positions in the heavy chain. Additionally, modifications in the light chain of the antibody are suggested to further optimize the thermal stability of the antibody. By following the outlined method, a modified antibody with improved thermal stability can be efficiently produced, offering potential benefits in various fields where antibody stability is crucial. This patent provides a structured approach to enhancing the properties of antibodies, opening up possibilities for improved performance in diverse applications.
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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 across the world’s largest industries.
