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On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach
A large number of chemical compounds are available in databases such as PubChem and ZINC. However, currently known compounds, though large, represent only a fraction of possible compounds, which is known as chemical space. Many of these compounds in the databases are annotated with properties and as...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399946/ https://www.ncbi.nlm.nih.gov/pubmed/36051875 http://dx.doi.org/10.1016/j.csbj.2022.07.049 |