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DeepSA: a deep-learning driven predictor of compound synthesis accessibility
With the continuous development of artificial intelligence technology, more and more computational models for generating new molecules are being developed. However, we are often confronted with the question of whether these compounds are easy or difficult to synthesize, which refers to synthetic acc...
| 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/PMC10621138/ https://www.ncbi.nlm.nih.gov/pubmed/37919805 http://dx.doi.org/10.1186/s13321-023-00771-3 |