Statistical modeling to quantify the uncertainty of FoldX-predicted protein folding and binding stability

BACKGROUND: Computational methods of predicting protein stability changes upon missense mutations are invaluable tools in high-throughput studies involving a large number of protein variants. However, they are limited by a wide variation in accuracy and difficulty of assessing prediction uncertainty...

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Detalles Bibliográficos
Autores principales: Sapozhnikov, Yesol, Patel, Jagdish Suresh, Ytreberg, F. Marty, Miller, Craig R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642056/
https://www.ncbi.nlm.nih.gov/pubmed/37953256
http://dx.doi.org/10.1186/s12859-023-05537-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642056/
https://www.ncbi.nlm.nih.gov/pubmed/37953256
http://dx.doi.org/10.1186/s12859-023-05537-0

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