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SyntaLinker: automatic fragment linking with deep conditional transformer neural networks

Linking fragments to generate a focused compound library for a specific drug target is one of the challenges in fragment-based drug design (FBDD). Hereby, we propose a new program named SyntaLinker, which is based on a syntactic pattern recognition approach using deep conditional transformer neural...

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Detalhes bibliográficos
Publicado no:Chem Sci
Main Authors: Yang, Yuyao, Zheng, Shuangjia, Su, Shimin, Zhao, Chao, Xu, Jun, Chen, Hongming
Formato: Artigo
Idioma:Inglês
Publicado em: The Royal Society of Chemistry 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8163338/
https://ncbi.nlm.nih.gov/pubmed/34123096
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/d0sc03126g
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