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• W2964677890 endingPage "2032" @default.
• W2964677890 startingPage "2017" @default.
• W2964677890 abstract "Artificial Intelligence (AI) is an area of computer science that simulates the structures and operating principles of the human brain. Machine learning (ML) belongs to the area of AI and endeavors to develop models from exposure to training data. Deep Learning (DL) is another subset of AI, where models represent geometric transformations over many different layers. This technology has shown tremendous potential in areas such as computer vision, speech recognition and natural language processing. More recently, DL has also been successfully applied in drug discovery. Here, I analyze several relevant DL applications and case studies, providing a detailed view of the current state-of-the-art in drug discovery and highlighting not only the problematic issues, but also the successes and opportunities for further advances." @default.
• W2964677890 created "2019-08-13" @default.
• W2964677890 creator A5083327774 @default.
• W2964677890 date "2019-10-01" @default.
• W2964677890 modified "2023-10-11" @default.
• W2964677890 title "Deep learning in drug discovery: opportunities, challenges and future prospects" @default.
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