Open data and algorithms for open science in AI-driven molecular informatics
Recent years have seen a sharp increase in the development of deep learning and artificial intelligence-based molecular informatics. There has been a growing interest in applying deep learning to several subfields, including the digital transformation of synthetic chemistry, extraction of chemical i...
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| Published in: | Current opinion in structural biology Vol. 79; p. 102542 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Elsevier Ltd
01.04.2023
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| Subjects: | |
| ISSN: | 0959-440X, 1879-033X, 1879-033X |
| Online Access: | Get full text |
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