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Research Topics & Questions
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Research Topics & Questions

Topics
1. Seed selection and breeding
2. Analyze data on cannabis consumption patterns
3. Predicting consumer demand
4. Analyze data on the environmental impact of cannabis cultivation
5. Managing supply chain logistics
6. Analyze data on the efficacy of different cannabis products for treating specific conditions
Rare Diseases
7. Predicting the effects of different strains of cannabis on different individuals
Best NNs for predicting effects based on genomics
8. Analyze data on the interactions between cannabis and other medications
9. Detect contaminants in cannabis products
10. Analyse effects of growing conditions on chemical composition
Questions
AI/ML in Cannabis Research
Using LLMs in Medical Cannabis Research
  1. Can we predict expression from genome data (e.g. SNP and methylation)?
  1. Can we predict reported effects in consumers from plant genome data alone? What about in combination with human genome data?
  1. Can we identify new genes, transcripts, and protein domains, interactions, and functions (compare to benchmarks)?
  1. Can we engineer cannabinoid synthase and terpene synthase genes to have higher production than wild-type?
    1. https://news.mit.edu/2023/fanzor-system-in-animals-can-edit-human-genome-0628
    2. https://www.nature.com/articles/s41592-022-01604-1/metrics
  1. Can we engineer other physiological traits of cannabis plants?
  1. Evaluate responses to asking CGD-GPT about a list of common myths, popular misconceptions, and paradigm beliefs regarding cannabis.
  1. Can we predict therapeutic use cases of cannabis that are unknown and/or still unexplored?
  1. Can we design new therapeutics for unexplored predicted cannabis use cases?
Interesting Articles
Flavonoids in Cannabis sativa: Biosynthesis, Bioactivities, and Biotechnology
Although Cannabis sativa synthesizes a wide range of phytochemicals, much attention has been primarily given to two phytocannabinoids, Δ9-tetrahydocannabinol (THC) and cannabidiol (CBD), due to their distinctive activities in humans. These bioactivities can be further enhanced through the interaction of THC and CBD with other phytocannabinoids or non-phytocannabinoid chemicals, such as terpenes and flavonoids, a phenomenon that is termed the entourage effect. Flavonoid metabolism in C. sativa and the entourage effect are currently understudied. This mini-review examines recent advances in the biosynthesis and bioactivities of cannflavins, which are prenylated (C5) and geranylated (C10) flavones that are relatively unique to C. sativa. We also discuss the rapidly developing omics tools that enable discoveries in flavonoid metabolism in C. sativa and manipulation of flavonoid production through biotechnology. These advances set the stage for interrogating the health benefits of C. sativa flavonoids, deciphering the contribution of flavonoids to the entourage effect, and developing drugs.
Flavonoids in Cannabis sativa: Biosynthesis, Bioactivities, and Biotechnology
https://pubs.acs.org/doi/10.1021/acsomega.1c00318
Flavonoids in Cannabis sativa: Biosynthesis, Bioactivities, and Biotechnology
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
The application of artificial intelligence (AI) has been considered a revolutionary change in drug discovery and development. In 2020, the AlphaFold computer program predicted protein structures for the whole human genome, which has been considered a remarkable breakthrough in both AI applications and struct
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
https://doi.org/10.1039/D2SC05709C
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
🧪
Research Topics & Questions
🧪

Research Topics & Questions

Topics
1. Seed selection and breeding
2. Analyze data on cannabis consumption patterns
3. Predicting consumer demand
4. Analyze data on the environmental impact of cannabis cultivation
5. Managing supply chain logistics
6. Analyze data on the efficacy of different cannabis products for treating specific conditions
Rare Diseases
7. Predicting the effects of different strains of cannabis on different individuals
Best NNs for predicting effects based on genomics
8. Analyze data on the interactions between cannabis and other medications
9. Detect contaminants in cannabis products
10. Analyse effects of growing conditions on chemical composition
Questions
AI/ML in Cannabis Research
Using LLMs in Medical Cannabis Research
  1. Can we predict expression from genome data (e.g. SNP and methylation)?
  1. Can we predict reported effects in consumers from plant genome data alone? What about in combination with human genome data?
  1. Can we identify new genes, transcripts, and protein domains, interactions, and functions (compare to benchmarks)?
  1. Can we engineer cannabinoid synthase and terpene synthase genes to have higher production than wild-type?
    1. https://news.mit.edu/2023/fanzor-system-in-animals-can-edit-human-genome-0628
    2. https://www.nature.com/articles/s41592-022-01604-1/metrics
  1. Can we engineer other physiological traits of cannabis plants?
  1. Evaluate responses to asking CGD-GPT about a list of common myths, popular misconceptions, and paradigm beliefs regarding cannabis.
  1. Can we predict therapeutic use cases of cannabis that are unknown and/or still unexplored?
  1. Can we design new therapeutics for unexplored predicted cannabis use cases?
Interesting Articles
Flavonoids in Cannabis sativa: Biosynthesis, Bioactivities, and Biotechnology
Although Cannabis sativa synthesizes a wide range of phytochemicals, much attention has been primarily given to two phytocannabinoids, Δ9-tetrahydocannabinol (THC) and cannabidiol (CBD), due to their distinctive activities in humans. These bioactivities can be further enhanced through the interaction of THC and CBD with other phytocannabinoids or non-phytocannabinoid chemicals, such as terpenes and flavonoids, a phenomenon that is termed the entourage effect. Flavonoid metabolism in C. sativa and the entourage effect are currently understudied. This mini-review examines recent advances in the biosynthesis and bioactivities of cannflavins, which are prenylated (C5) and geranylated (C10) flavones that are relatively unique to C. sativa. We also discuss the rapidly developing omics tools that enable discoveries in flavonoid metabolism in C. sativa and manipulation of flavonoid production through biotechnology. These advances set the stage for interrogating the health benefits of C. sativa flavonoids, deciphering the contribution of flavonoids to the entourage effect, and developing drugs.
Flavonoids in Cannabis sativa: Biosynthesis, Bioactivities, and Biotechnology
https://pubs.acs.org/doi/10.1021/acsomega.1c00318
Flavonoids in Cannabis sativa: Biosynthesis, Bioactivities, and Biotechnology
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
The application of artificial intelligence (AI) has been considered a revolutionary change in drug discovery and development. In 2020, the AlphaFold computer program predicted protein structures for the whole human genome, which has been considered a remarkable breakthrough in both AI applications and struct
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
https://doi.org/10.1039/D2SC05709C
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor