Seegene has been granted a patent for a computer-implemented method that optimizes the preparation of oligonucleotide combinations for detecting multiple target nucleic acid sequences. This innovative approach uses logic to select the minimum number of oligonucleotides needed to achieve the desired target coverage efficiently. GlobalData’s report on Seegene 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 Seegene, AI-assisted drug screening was a key innovation area identified from patents. Seegene's grant share as of May 2024 was 28%. Grant share is based on the ratio of number of grants to total number of patents.
Computer-implemented method for preparing optimal oligonucleotide combinations
A recently granted patent (Publication Number: US11961590B2) outlines a computer-implemented method for preparing a combination of oligonucleotides used to detect multiple target nucleic acid sequences with a specified target coverage. The method involves selecting a minimum number of oligonucleotides from a pool to hybridize with the target sequences, ensuring the selection meets specific objective and constraint formulas. The process aims to achieve optimal coverage for the target sequences, with variations based on the desired target coverage percentage.
Furthermore, the patent details the selection criteria for the oligonucleotide combinations based on the target coverage of interest, genetic diversity, and sequence similarity among the target nucleic acid sequences. The method also addresses scenarios where the target coverage is less than 100% or reaches full coverage. The patent emphasizes the importance of selecting the minimum number of oligonucleotides efficiently to ensure accurate detection of the target sequences. Additionally, the patent includes instructions for configuring a processor to perform the method, stored in a non-transitory computer-readable storage medium, highlighting the practical application of the innovative approach in molecular biology research and diagnostics.
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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.
