Accelerating the inference of string generation-based chemical reaction models for industrial applications
Abstract Transformer-based, template-free SMILES-to-SMILES translation models for reaction prediction and single-step retrosynthesis are of interest to computer-aided synthesis planning systems, as they offer state-of-the-art accuracy. However, their slow inference speed limits their practical utili...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BMC
2025-03-01
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| Seri Bilgileri: | Journal of Cheminformatics |
| Konular: | |
| Online Erişim: | https://doi.org/10.1186/s13321-025-00974-w |
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