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

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 electrostatics d...

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Veröffentlicht in:	Bioinformatics 2012-08, Vol.28 (15), p.2078-2079
Hauptverfasser:	SOMAROWTHU, Srinivas, JO ONDRECHEN, Mary
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications Note Artificial Intelligence Biological and medical sciences Computational Biology - methods Fundamental and applied biological sciences. Psychology General aspects Internet Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Protein Structure, Tertiary Proteins - chemistry Software Static Electricity
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