DNAffinity: a machine-learning approach to predict DNA binding affinities of transcription factors

We present a physics-based machine learning approach to predict in vitro transcription factor binding affinities from structural and mechanical DNA properties directly derived from atomistic molecular dynamics simulations. The method is able to predict affinities obtained with techniques as differen...

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Detalles Bibliográficos
Autores principales: Barissi, Sandro, Sala, Alba, Wieczór, Miłosz, Battistini, Federica, Orozco, Modesto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458447/
https://www.ncbi.nlm.nih.gov/pubmed/36018808
http://dx.doi.org/10.1093/nar/gkac708

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458447/
https://www.ncbi.nlm.nih.gov/pubmed/36018808
http://dx.doi.org/10.1093/nar/gkac708

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