POOL server: machine learning application for functional site prediction in proteins

Summary: We present an automated web server for partial order optimum likelihood (POOL), a machine learning application that combines computed electrostatic and geometric information for high-performance prediction of catalytic residues from 3D structures. Input features consist of THEMATICS electro...

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Detalles Bibliográficos
Autores principales: Somarowthu, Srinivas, Ondrechen, Mary Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400966/
https://www.ncbi.nlm.nih.gov/pubmed/22661648
http://dx.doi.org/10.1093/bioinformatics/bts321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400966/
https://www.ncbi.nlm.nih.gov/pubmed/22661648
http://dx.doi.org/10.1093/bioinformatics/bts321

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