Codexis. has been granted a patent for engineered amylase polypeptides that exhibit enhanced thermostability, protease stability, and pH resilience. The invention includes polynucleotides encoding these polypeptides and their applications in therapeutic and nutritional fields. The claim specifies a recombinant polynucleotide with a defined sequence identity. GlobalData’s report on Codexis 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 Codexis, Bioethanol production GMOs was a key innovation area identified from patents. Codexis's grant share as of July 2024 was 43%. Grant share is based on the ratio of number of grants to total number of patents.
The granted patent US12071642B2 outlines a recombinant polynucleotide that encodes a recombinant amylase with a polypeptide sequence exhibiting at least 90% sequence identity to a specified sequence (SEQ ID NO: 1728). The claims detail various levels of sequence identity, ranging from 90% to 99%, and specify permissible substitutions at certain amino acid positions (272G/K/P/R/S, 394E/G/N/R/S, or 91H). Additionally, the polynucleotide may be codon-optimized and can include specific sequences identified by SEQ ID numbers. The patent also encompasses expression vectors containing the recombinant polynucleotide, which can be linked to control sequences, including promoters.
Furthermore, the patent describes host cells that incorporate the expression vector, which can be derived from bacterial, fungal, insect, or mammalian sources. A method for producing the recombinant amylase is also included, which involves culturing the host cell under conditions conducive to the production of the amylase. The process may also involve subsequent recovery and purification of the recombinant amylase. This patent provides a comprehensive framework for the development and production of engineered amylases with specific sequence characteristics and applications in various biotechnological fields.
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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
