A Machine Learning and Network Framework to Discover New Indications for Small Molecules

    Coryandar Gilvary, Jamal Elkhader, Neel S. Madhukar … Olivier Elemento

    Preprint — not peer reviewed. This was posted to a preprint server or data repository. It has not been through a journal's review process, and its findings may change or not hold up.

    Studysummary This study developed the CATNIP computational model, which uses biological and chemical information to successfully identify drug repurposing opportunities for various conditions, including Parkinson’s disease and Type 2 Diabetes.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
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    Research cited in this study 1

    1. Repurposing of Approved Cardiovascular Drugs Journal of Translational Medicine · 2016

    Related research 1

    1. A Machine Learning and Network Framework to Discover New Indications for Small Molecules PLOS Computational Biology · 2020