deletions | additions       diff --git a/subsection_Estrogen_Receptor_alpha_Virtual__.tex b/subsection_Estrogen_Receptor_alpha_Virtual__.tex  index 2d4d7c8..8aeffd2 100644  --- a/subsection_Estrogen_Receptor_alpha_Virtual__.tex  +++ b/subsection_Estrogen_Receptor_alpha_Virtual__.tex 
...
\subsection{Estrogen Receptor $\alpha$}  Virtual screening results for estrogen receptor $\alpha$ agonists and inhibitors are shown in Figures~\ref{eralphapot} and \ref{eralpha}. None RDKit was marginally successful at identifying inhibitors with an AUC  of 0.59 but  the shape-based remaining  methods exhibit were less  successful virtual screening (AUCs range with AUCs ranging  from 0.41 0.43  to 0.52) which 0.52 and none of the shape-based methods exhibited early enrichment. This  suggests that this particular dataset is ill-suited for shape-based screening using the reference query molecules. The shape constraint queries lacked statistical significance and the most significant queries identified a large percentage of the total compounds in the database, resulting in longer running times.