The Applications of Machine Learning to Novel Drug Discovery
DOI:
https://doi.org/10.54097/zz7kz646Keywords:
Drug discoveries, Machine Learning, Data collection, Neural Network.Abstract
Drug discovery is a time-consuming, costly and often off-target discovery pipeline that nonetheless plays a crucial part in medical treatment field. In the past few decades, experimental assays remain the most reliable approach to screen compounds with huge cost. However, many artificial intelligence and machine learning algorithms have been implemented to modernize this field, such as through predicting molecular interactions or properties and analyzing biological data to identify potential drug targets, drug monitoring, and toxicity prediction. In summary, machine learning advancements provide critical support for logical drug design and discovery process, which could finally benefit all of humankind.
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