What is it about?
The primary domains of machine learning applications in medication development: • Drug-target interaction (DTI) prediction. • Drug properties prediction. • De novo drug design.
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Why is it important?
Bringing a new medication to the market is complicated and time-consuming, costing pharmaceutical companies an average of $2.6 billion and 10 years of research and development. Machine learning and deep learning can be used to speed up and reduce the cost of the labor-intensive and expensive process of finding new drugs.
Perspectives
the fundamental tasks of drug discovery applications using machine learning are: • Locating the database with the compound and target information. • Transforming substances and targets into data that machine learning can use. • An appropriate machine learning method is used based on the representation selected to process the input
Professor Ban N. Dhannoon
Al-Nahrain University
Read the Original
This page is a summary of: Automating Drug Discovery using Machine Learning, Current Drug Discovery Technologies, November 2023, Bentham Science Publishers,
DOI: 10.2174/1570163820666230607163313.
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