Automatic construction of molecular similarity networks for visual graph mining in chemical space of bioactive peptides: an unsupervised learning approach

The increasing interest in bioactive peptides with therapeutic potentials has been reflected in a large variety of biological databases published over the last years. However, the knowledge discovery process from these heterogeneous data sources is a nontrivial task, becoming the essence of our rese...

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Detalles Bibliográficos
Autores principales: Aguilera-Mendoza, Longendri, Marrero-Ponce, Yovani, García-Jacas, César R., Chavez, Edgar, Beltran, Jesus A., Guillen-Ramirez, Hugo A., Brizuela, Carlos A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583304/
https://www.ncbi.nlm.nih.gov/pubmed/33093586
http://dx.doi.org/10.1038/s41598-020-75029-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583304/
https://www.ncbi.nlm.nih.gov/pubmed/33093586
http://dx.doi.org/10.1038/s41598-020-75029-1

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