Codexis has been granted a patent for engineered deoxyribose-phosphate aldolase polypeptides, enhancing production of pharmaceuticals and fine chemicals in industrial processes. The patented polynucleotide encodes an engineered aldolase with specific substitutions, increasing activity compared to the original sequence. 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 January 2024 was 44%. Grant share is based on the ratio of number of grants to total number of patents.
A recently granted patent (Publication Number: US11845968B2) discloses an engineered polynucleotide encoding a modified deoxyribose-phosphate aldolase with enhanced activity. The engineered enzyme, with at least 95% sequence identity to SEQ ID NO: 2, contains a specific substitution (X145C/R/K) leading to a 1.2 fold increase in activity on (R)-2-ethynyl-glyceraldehyde compared to the wild-type enzyme. Additionally, the patent covers variants of the engineered aldolase with substitutions at various amino acid positions, providing a broad scope for modifications to enhance enzyme activity.
Furthermore, the patent encompasses engineered polynucleotides encoding deoxyribose-phosphate aldolases with specific substitutions at selected amino acid positions, as well as sequences identical to engineered aldolase variants listed in even-numbered sequences of SEQ ID NOs: 6, 12, 42, 104, and 140-478. The patent also includes expression vectors, host cells, and methods for producing and purifying the engineered aldolase. By culturing host cells containing the engineered polynucleotide sequences under suitable conditions, the method allows for the production and recovery of the modified enzyme, paving the way for potential applications in biotechnology and industrial processes requiring enhanced aldolase activity.
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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
