- The AI-driven drug discovery program uses not only artificial intelligence but also machine learning, which is a relatively new concept and is continuously expanding
- The use of artificial intelligence in the drug development space may help eliminate or reduce the manual operations that a company typically must undergo to identify and make necessary improvements to drugs
- The new model will allow the company to rapidly screen billions of structures promoting near term patent filings for novel psychedelic molecules
- Mydecine has already been able to eliminate unsuccessful candidates early on with the use of this technology
- Mydecine’s primary focus is the compound psilocybin, which interacts with serotonin receptors in the human body, creating a psychedelic effect
- The company is currently working on four lead candidates which may be useful in the treatment of PTSD, smoking cessation, and substance abuse
A biotech and digital technology company aiming to transform the treatment of mental health and addiction disorders, Mydecine Innovations Group (NEO: MYCO) (OTC: MYCOF) (FSE: ONFA) announced that it has completed a target-based model of the classic psychedelic serotonin receptor 5-HT2A for use in its artificial intelligence (“AI”)-driven drug discovery program. Through this new model, the company will be able to expedite the screening of billions of structures to determine which of the novel compounds will increase binding affinity and enable the continued creation of improved second and third-generation psychedelic molecules for medicinal use.
By using artificial intelligence and machine learning (“ML”), the company has positioned itself to discover drug enhancements through more cost-effective means, and in turn, more effectively than the competition. The use of AI in the drug development space is…
NOTE TO INVESTORS: The latest news and updates relating to MYCOF are available in the company’s newsroom at https://ibn.fm/MYCOF
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