Cyclic peptide structure prediction and design using AlphaFold

Deep learning networks offer considerable opportunities for accurate structure prediction and design of biomolecules. While cyclic peptides have gained significant traction as a therapeutic modality, developing deep learning methods for designing such peptides has been slow, mostly due to the small...

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Detalles Bibliográficos
Autores principales: Rettie, Stephen A., Campbell, Katelyn V., Bera, Asim K., Kang, Alex, Kozlov, Simon, De La Cruz, Joshmyn, Adebomi, Victor, Zhou, Guangfeng, DiMaio, Frank, Ovchinnikov, Sergey, Bhardwaj, Gaurav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980166/
https://www.ncbi.nlm.nih.gov/pubmed/36865323
http://dx.doi.org/10.1101/2023.02.25.529956

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980166/
https://www.ncbi.nlm.nih.gov/pubmed/36865323
http://dx.doi.org/10.1101/2023.02.25.529956

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