Bayer has filed a patent for a method to screen chemical substances using plant material. The process involves treating the plant material, creating datasets of phenotypical characteristics, and assigning the chemical substance to a site or mode of action based on a compendium of data. GlobalData’s report on Bayer 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 Bayer, Peptide pharmacophores was a key innovation area identified from patents. Bayer's grant share as of January 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Method for screening chemical substances using plant material
The patent application (Publication Number: US20240036034A1) describes a method for screening chemical substances by treating plant material. The process involves applying the plant material into a cavity, treating it with the chemical substance, creating a dataset showing phenotypical characteristics post-treatment, and assigning the chemical substance to a site of action (SoA) or mode of action (MoA) using a compendium containing data on dependencies between phenotypical characteristics.
The method utilizes a sensor unit for obtaining the dataset in a non-destructive manner, with options for different types of sensors such as hyperspectral VIS, hyperspectral NIR, chlorophyll fluorescence, or RGB sensors. The plant material is placed in wells of a multi-well plate, with each well containing one piece of plant material. The chemical substance can be applied at various concentrations, and the dataset can be decomposed into single datasets for individual plant material pieces. Machine learning processes are used for assigning the chemical substance to SoA or MoA, with the compendium being augmented by data from reference substances. Additionally, unidentified SoA or MoA can be identified for substances not matching any recorded data in the compendium. The method is particularly applicable to plant species like Arabidopsis thaliana in seed or seedling stages and involves chemical substances like plant growth regulators.
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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
