Machine Learning Generation of Dynamic Protein Conformational Ensembles

Machine learning has achieved remarkable success across a broad range of scientific and engineering disciplines, particularly its use for predicting native protein structures from sequence information alone. However, biomolecules are inherently dynamic, and there is a pressing need for accurate pred...

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Detalles Bibliográficos
Autores principales: Zheng, Li-E, Barethiya, Shrishti, Nordquist, Erik, Chen, Jianhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220786/
https://www.ncbi.nlm.nih.gov/pubmed/37241789
http://dx.doi.org/10.3390/molecules28104047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220786/
https://www.ncbi.nlm.nih.gov/pubmed/37241789
http://dx.doi.org/10.3390/molecules28104047

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