# US 12,119,085 B2 · System and method of making predictions of mature Cannabis plants from seedling information > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,119,085 B2 - Document ID: US12119085B2 - Status: Granted - Kind: B2 - Application number: 18/377,167 - Filed: 2023-10-05 - Published: 2024-03-28 - Granted: 2024-10-15 - Earliest claimed: 2022-07-14 - Assignees: Cannamatrix Inc. - Applicants: Cannamatrix Inc. - Inventors: Emanuel Maminakis - Web page: https://patentgrep.com/patent/US12119085B2 ## CPC - G16B 20/00: ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations - G16B 20/20: Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection - G16B 40/20: Supervised data analysis - G16B: BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY ## Abstract Systems and methods of predicting a Cannabis chemotype from genetic data include obtaining a training dataset comprising genetic data for at least one mature Cannabis plant, and corresponding chemotype information for the at least one mature Cannabis plant, generating a chemotype prediction model based on the training dataset, the chemotype prediction model being able to predict the chemotype of a mature Cannabis plant, receiving genetic data for a Cannabis seedling, and predicting, via the chemotype prediction model, the chemotype of the Cannabis seedling upon maturation. ## Claims ### Claim 1 A computer-implemented method for displaying information relating to and facilitating Cannabis plant breeding on a graphical user interface, comprising; dynamically displaying a first genetic information in one of a plurality of locations in a user genetic information region, each location in the user genetic information region corresponding to a Cannabis seedling of a user; dynamically displaying a predicted chemotype of the user Cannabis seedling in response to a result of a chemotype prediction model in a predicted chemotype region; dynamically displaying a stored Cannabis information in one of a plurality of locations in a stored Cannabis information region, each location in the stored Cannabis information region corresponding to a Cannabis variety; and displaying at least one of the user genetic information region or predicted chemotype region adjacent to the stored Cannabis information region. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, wherein the genetic information includes data from at least one of genetic sequencing, genetic fingerprinting, single nucleotide polymorphisms (SNPs), simple sequence repeats (SSRs), amplified fragment length polymorphisms (AFLPs), low-pass sequencing techniques, genotyping-by-sequencing (GBS), restriction fragment length polymorphisms (RFLPs), or random amplified polymorphic DNA (RAPD). ### Claim 3 (depends on 1) The computer-implemented method of claim 1, wherein the chemotype information includes at least one of a cannabinoid profile or a terpene profile. ### Claim 4 (depends on 3) The computer-implemented method of claim 3, wherein the cannabinoid profile and terpene profile includes potency data of at least one of THC, CBD, CBN, or terpenes. ### Claim 5 (depends on 1) The computer-implemented method of claim 1, wherein the chemotype prediction model is trained to predict a chemotype based on training data. ### Claim 6 (depends on 1) The computer-implemented method of claim 1, wherein the first genetic information is obtained between 5 days and 60 days after germination. ### Claim 7 (depends on 1) The computer-implemented method of claim 1, wherein the stored Cannabis information comprises at least one of a second genetic information, a chemotype, a metadata, a user experience, a qualitative data, or a preference. ### Claim 8 (depends on 7) The computer-implemented method of claim 7, wherein the user experience is at least one of a feeling, a taste, or a smell. ### Claim 9 (depends on 5) The computer-implemented method of claim 5, wherein the training data includes a sex of a mature Cannabis plant. ### Claim 10 (depends on 5) The computer-implemented method of claim 5, wherein the training data comprises chemotype information and genetic information. ### Claim 11 (depends on 10) The computer-implemented method of claim 10, wherein the chemotype information is paired with the genetic information for a plurality of mature Cannabis plants. ### Claim 12 (depends on 1) The computer-implemented method of claim 1, wherein the stored Cannabis information moves in the stored Cannabis information region in response to a user query. ### Claim 13 (depends on 1) The computer-implemented method of claim 1, wherein a prediction of the chemotype prediction model is based on at least one of a percent similarity in a DNA sequence, a percent similarity in a portion of a DNA sequence, a presence of a particular DNA sequence/gene, an absence of a particular DNA sequence/gene, or a presence or absence of a particular mutation. ### Claim 14 (depends on 12) The computer-implemented method of claim 12, wherein the user query comprises at least one of a genetic criteria, a chemotype criteria, a metadata criteria, a user experience, a qualitative data, or a user preference. ### Claim 15 (depends on 14) The computer-implemented method of claim 14, further comprising, facilitating communication between the user and a second user, the second user associated with at least one result from the user query. ### Claim 16 (depends on 14) The computer-implemented method of claim 14, wherein the user experience is at least one of a feeling, a taste, or a smell.