FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction
Accurate prediction of molecular properties, such as physicochemical and bioactive properties, as well as ADME/T (absorption, distribution, metabolism, excretion and toxicity) properties, remains a fundamental challenge for molecular design, especially for drug design and discovery. In this study, w...
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Published in | Briefings in bioinformatics Vol. 23; no. 6 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
19.11.2022
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Subjects | |
Online Access | Get full text |
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