A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain–peptide interaction from primary sequence

Motivation: Predicting protein interactions involving peptide recognition domains is essential for understanding the many important biological processes they mediate. It is important to consider the binding strength of these interactions to help us construct more biologically relevant protein intera...

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Detalles Bibliográficos
Autores principales: Shao, Xiaojian, Tan, Chris S. H., Voss, Courtney, Li, Shawn S. C., Deng, Naiyang, Bader, Gary D.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3031032/
https://www.ncbi.nlm.nih.gov/pubmed/21127034
http://dx.doi.org/10.1093/bioinformatics/btq657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3031032/
https://www.ncbi.nlm.nih.gov/pubmed/21127034
http://dx.doi.org/10.1093/bioinformatics/btq657

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