Optimizing Successful Outcomes for Repurposing Existing Pharmaceutical Compounds

Abstract

The present invention provides a process and method for preventing and / or treating protein based diseases, including, but not limited to: Alzheimer's and other amyloid based disease groups. This method recognizes correlative similarities across genomics, phenotypic and pharmacologic analytics and data to identify a list of existing compounds as high probability targets to act as inhibitors and / or stimulants close to a disease of interest. Pertinent genetic or epigenetic variances, or protein expression anomalies, are used to assemble a list of existing compounds through the use of artificial intelligence, machine learning and algorithmic relationships. This invention applies current genomic, phenotypic and pharmacological data to leverage data previously obtained in pursuit of other disease treatments. Accordingly, the current invention collapses cycle time to discovery and dramatically reduces costs. Through this system of active compounds created from tenuous relationships exhibits an elevated probability of success. Using a selection of algorithms that coordinate relationships including, but not limited to: genomic, epigenomic, phenotypic, protein dysregulation, cultural, pharmacological, etc., data, the present invention collapses cycle time of development and dramatically reduces costs by accessing data on target rich groups of previously tested abstractly related compounds.

Description

[0001]From prehistoric times mankind has recognized certain eating behaviors were essential or beneficial to health. Societies began to pass along healthy advice to their families, clans, bands, tribes and nations to form a historical record. In the most recent millennium many writings describe disease and man's responses. Modern science and published research and other reports collectively provide a vast repository of information relating to the gamut of human interests, including many plants, compounds, foods, practices and activities related to both poor and good health. The present invention recognizes this collected human treasure and uses it as the foundational heart of a changed methodology for rapidly developing and identifying existing compounds to be used as new treatments to cure diseases other than the originally intended disease or symptom(s).[0002]Pharmaceutical companies have complied valuable proprietary chemical libraries for wet-testing using high throughput screen...

AI Technical Summary

Benefits of technology

The patent text describes a method called repurposing, which involves using a lower-level compound to treat a disease. This method can involve discarding a lead compound and elevating a lower-level compound in the development hierarchy. The text also explains how an increase in a substance called glutathione can protect against damage caused by oxidative molecules. This protective effect can be achieved by several methods, such as supplying precursors for glutathione synthesis or curcumin. The technical effects of the patent text are the discovery of a new method for treating diseases and the potential to reduce toxicity and risk by administering higher doses of a drug.

Problems solved by technology

Although high-throughput screening represented an improvement milestone, it still has a minimal (<˜5% by many estimates) success rate in producing a safe and effective drug.

Many of the screened compounds are in reality unsuitable for successful drug development, e.g., for chemical, biological or cost reasons.

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