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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...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2012
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3400966/ https://ncbi.nlm.nih.gov/pubmed/22661648 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts321 |
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