Method and system for predicting drug-drug interactions

This invention describes a computer-based method to predict if two drugs will interact negatively. It works by comparing the chemical structure of a new drug to known drugs with documented interactions. If the new drug is structurally similar to a known drug, the system predicts it will have similar interactions, specifically using text-based chemical descriptions and mathematical similarity calculations.

Why it matters: Since 2023, deep learning models, especially graph neural networks, have advanced significantly in learning complex molecular representations, potentially offering more nuanced and accurate DDI predictions than traditional structural similarity metrics.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, cheminformatics libraries, machine learning models

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