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Probabilistic generative transformer language models for generative design of molecules
Self-supervised neural language models have recently found wide applications in the generative design of organic molecules and protein sequences as well as representation learning for downstream structure classification and functional prediction. However, most of the existing deep learning models fo...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518939/ https://www.ncbi.nlm.nih.gov/pubmed/37749655 http://dx.doi.org/10.1186/s13321-023-00759-z |