Hanmi Science has been granted a patent for a novel glucagon derivative peptide, which demonstrates enhanced activation of glucagon-like peptide-1 and glucagon receptors. This peptide is proposed for use in compositions aimed at preventing or treating obesity. The specific amino acid sequence is detailed in SEQ ID NO: 14. GlobalData’s report on Hanmi Science 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 Hanmi Science, Hormone-based therapies for metabolic disorders was a key innovation area identified from patents. Hanmi Science's grant share as of June 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
The granted patent US12018060B2 outlines a novel peptide characterized by the amino acid sequence identified as SEQ ID NO: 14. This peptide is notable for its ability to activate both the GLP-1 receptor and the glucagon receptor, which are critical in metabolic regulation. Additionally, the peptide demonstrates an anti-obesity effect, making it a potential therapeutic agent for weight management. The claims further specify that the peptide may contain structural features, such as at least one amino acid pair forming a ring at designated positions, which could enhance its biological activity.
The patent also encompasses a pharmaceutical composition that includes the peptide as an active ingredient, potentially combined with a pharmaceutically acceptable carrier. This composition can be administered alone or in conjunction with other obesity-treating pharmaceutical formulations, such as GLP-1 receptor agonists, leptin receptor agonists, and various receptor antagonists and agonists that target metabolic pathways. The claims detail methods for treating obesity by administering either the peptide or the pharmaceutical composition to individuals in need, highlighting its therapeutic applications in obesity management.
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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
