About this document

Abstract by anusrinivas37 is a document available to read on EtoBox.

This document discusses a machine learning framework developed to predict drug-target interactions (DTI) more efficiently than traditional methods. It utilizes publicly available datasets and various machine learning algorithms, with Logistic Regression achieving the highest accuracy of 96%. The findings demonstrate the potential of these methods to enhance drug discovery processes by providing a cost-effective and accurate prediction tool.

Author

anusrinivas37

Language

EN