Arrowhead Pharmaceuticals has been granted a patent for a double-stranded RNA molecule designed to inhibit the expression of the RRM2 gene. The invention includes a pharmaceutical composition and methods for treating diseases caused by RRM2 gene expression. GlobalData’s report on Arrowhead Pharmaceuticals 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 Arrowhead Pharmaceuticals, Targeted cancer therapy was a key innovation area identified from patents. Arrowhead Pharmaceuticals's grant share as of February 2024 was 85%. Grant share is based on the ratio of number of grants to total number of patents.

Dsrna for inhibiting rrm2 gene expression

Source: United States Patent and Trademark Office (USPTO). Credit: Arrowhead Pharmaceuticals Inc

The granted patent (Publication Number: US11920134B2) discloses a double-stranded ribonucleic acid molecule designed to inhibit the expression of a ribonucleotide reductase M2 (RRM2) gene. The molecule consists of a sense strand and an antisense strand, each less than 30 nucleotides in length, with the antisense strand containing specific nucleotide sequences. Additionally, the molecule may include modified nucleotides such as 2'-O-methyl modified nucleotides, phosphorothioate groups, and other variations to enhance its function.

Furthermore, the patent describes variations of the double-stranded ribonucleic acid molecule, including different lengths of the sense and antisense strands, the incorporation of modified nucleotides in both strands, and the addition of a 3' overhang with specific characteristics. The patent also covers the conjugation of the molecule to a ligand for targeted delivery. Pharmaceutical compositions containing the double-stranded ribonucleic acid molecule and a pharmaceutically acceptable carrier are also disclosed, providing potential applications in the field of gene expression regulation and therapeutic interventions.

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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