Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning

Protein–ligand interactions are increasingly profiled at high throughput using affinity selection and massively parallel sequencing. However, these assays do not provide the biophysical parameters that most rigorously quantify molecular interactions. Here we describe a flexible machine learning meth...

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Detalles Bibliográficos
Autores principales: Rube, H. Tomas, Rastogi, Chaitanya, Feng, Siqian, Kribelbauer, Judith F., Li, Allyson, Becerra, Basheer, Melo, Lucas A. N., Do, Bach Viet, Li, Xiaoting, Adam, Hammaad H., Shah, Neel H., Mann, Richard S., Bussemaker, Harmen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546773/
https://www.ncbi.nlm.nih.gov/pubmed/35606422
http://dx.doi.org/10.1038/s41587-022-01307-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546773/
https://www.ncbi.nlm.nih.gov/pubmed/35606422
http://dx.doi.org/10.1038/s41587-022-01307-0

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