Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides

BACKGROUND: Current methods in machine learning provide approaches for solving challenging, multiple constraint design problems. While deep learning and related neural networking methods have state-of-the-art performance, their vulnerability in decision making processes leading to irrational outcome...

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Detalles Bibliográficos
Autores principales: Boone, Kyle, Wisdom, Cate, Camarda, Kyle, Spencer, Paulette, Tamerler, Candan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111958/
https://www.ncbi.nlm.nih.gov/pubmed/33975547
http://dx.doi.org/10.1186/s12859-021-04156-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111958/
https://www.ncbi.nlm.nih.gov/pubmed/33975547
http://dx.doi.org/10.1186/s12859-021-04156-x

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