NAPLES, Fla., Oct. 5, 2021 /PRNewswire/ -- Enveric Biosciences (NASDAQ: ENVB) ("Enveric" or the "Company"), a patient-centric biotechnology company developing next-generation mental health and oncology treatments by leveraging psychedelic-derived molecules for the mind and synthetic cannabinoids for the body, today announced that PsyAITM – an artificial intelligence tool designed by April19 to provide comprehensive pharmaceutical design, manufacturing, pharmacology predictive and validating methodologies – has successfully identified viable psychedelic molecules for further drug discovery from Enveric's initial list of 500 psychedelic molecular compounds within its "Psybrary."
PsyAI has accelerated the development of optimized pharmaceutical candidates, each tailored specifically for difficult-to-treat mental health indications. Enveric believes it will be the first psychedelic drug discovery and development company to employ this machine-learning technology against an extensive psychedelic molecule library to evaluate higher-likelihood molecules that treat conditions that include cancer-related distress, PTSD, and other central nervous system (CNS) indications.
Enveric's adoption of PsyAI technology, which utilizes a set of machine-learning models and other computational techniques, including 3D structure generation and docking, is expected to result in predictive outputs on relative drug potential from Enveric's "Psybrary" of known and novel compounds. Enveric intends to use the results in predicting drug likeness, CNS exposure, oral bioavailability, toxicity, serotonin 5HT-2A receptor affinity and activity. The Company expects to combine the predictions into a multi-parameter score to rank the compounds by desirability and patentability on a comparative basis to a dataset of FDA-approved, orally available CNS drugs.
Additionally, this technology has helped Enveric identify clusters of compounds that are likely to undergo metabolic conversion into promising active compounds within the human body, therefore acting as prodrugs. Further analysis and examination of these prodrugs, also known as Generation 2 psychedelics, may expand the scope of the "Psybrary" and offer possible ways of improving or modifying the pharmacokinetic profiles of drug candidates.
"Through these machine-learning models, we believe we now have a greater ability to characterize and categorize our 'Psybrary' substituents, allowing Enveric to focus on the most promising molecules, accelerate development, and increase our confidence in the psychedelic drug candidates selected for advancement," said Dr. Joseph Tucker, CEO of Enveric. "As we work to bring more psychedelics from discovery to the clinical phase, this is a powerful step in helping us develop the right drug candidates needed to address the global mental health challenges millions suffer from, beginning with cancer-related distress."
"Beyond identifying specific psychedelic molecules to pursue from its existing pipeline, we believe that Enveric will also have the ability to expand future 'Psybrary' development to focus into the clusters of molecular compounds that have the highest potential to become viable drug candidates," said Dr. Peter Facchini, Enveric's Chief Scientific Officer. "We expect this new technology will now bring Enveric yet another step closer to providing much-needed supportive care for cancer patients suffering from the debilitating side effects of cancer treatment."
About Enveric Biosciences
Enveric Biosciences (NASDAQ: ENVB) is an innovative biotechnology company developing a next-generation mental health and oncology treatment clinical discovery platform, leveraging psychedelic-derived molecules for the mind and synthetic cannabinoids for the body. Enveric's robust pipeline supports drug development from the clinic to commercialization for millions of patients in need around the world suffering from conditions that include cancer-related distress, PTSD and more. For more information, please visit www.enveric.com.
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SOURCE Enveric Biosciences