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...
| Main Authors: | , |
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| Format: | Online |
| Language: | English |
| Published: |
Oxford University Press
2012
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400966/ |