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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2012
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| 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 |