Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms

<table class="fixed-width table-group" id="tab1"><tr><td><table class="table"><colgroup><col style="width:13.98em"/><col style="width:8.75em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">GPCR feature sets</td><td class="align_center">Ligand feature sets</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">MF (motif frequency)</td><td class="align_center"><i>4chars</i></td></tr><tr><td class="align_left">1AAF (1 amino acid frequency)</td><td class="align_center">Hub</td></tr><tr><td class="align_left">2AAF (2 amino acid frequency)</td><td class="align_center">Cycle</td></tr><tr><td class="align_left">MF &amp; 1AAF</td><td class="align_center"><i>4chars</i> &amp; Hub</td></tr><tr><td class="align_left">MF &amp; 2AAF</td><td class="align_center"><i>4chars</i> &amp; Cycle</td></tr><tr><td class="align_left">1AAF &amp; 2AAF</td><td class="align_center">Hub &amp; Cycle</td></tr><tr><td class="align_left">All</td><td class="align_center">All</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational and Mathematical Methods in Medicine

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Table 1

Table 1: Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms 