MolPROP: Molecular Property prediction with multimodal language and graph fusion
Abstract Pretrained deep learning models self-supervised on large datasets of language, image, and graph representations are often fine-tuned on downstream tasks and have demonstrated remarkable adaptability in a variety of applications including chatbots, autonomous driving, and protein folding. Ad...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-05-01
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| Series: | Journal of Cheminformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13321-024-00846-9 |