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...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMC
2024-05-01
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| Series: | Journal of Cheminformatics |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s13321-024-00846-9 |
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