Multiobjective de novo drug design with recurrent neural networks and nondominated sorting
Abstract Research productivity in the pharmaceutical industry has declined significantly in recent decades, with higher costs, longer timelines, and lower success rates of drug candidates in clinical trials. This has prioritized the scalability and multiobjectivity of drug discovery and design. De n...
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Format: | Article |
Language: | English |
Published: |
BMC
2020-02-01
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Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13321-020-00419-6 |