A random forest classifier for protein–protein docking models

 : Herein, we present the results of a machine learning approach we developed to single out correct 3D docking models of protein–protein complexes obtained by popular docking software. To this aim, we generated [Formula: see text] docking models for each of the 230 complexes in the protein–protein b...

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Detalles Bibliográficos
Autores principales: Barradas-Bautista, Didier, Cao, Zhen, Vangone, Anna, Oliva, Romina, Cavallo, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710594/
https://www.ncbi.nlm.nih.gov/pubmed/36699405
http://dx.doi.org/10.1093/bioadv/vbab042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710594/
https://www.ncbi.nlm.nih.gov/pubmed/36699405
http://dx.doi.org/10.1093/bioadv/vbab042

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