The Receptor Sub-family includes: GPCR, Kinase, SCAR, IG, and Other_receptors.
To have direct access to each entry in Receptor main family, click on its uniprot id on the left bar.
Binding site feature correlation
Code
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
sns.set_theme(style="whitegrid")
df_total_flat = pd.read_csv('../database/df_flattened.csv')
receptors_df1 = df_total_flat.loc[df_total_flat['main_classs'] == "Receptors"]
ax = sns.lmplot(
data=receptors_df1, x="areass", y="hpss",
hue="sub_classs", col="sub_classs", height=3, col_wrap=3,
)
ax.set(xlabel ="Area", ylabel = "Hydrophobicity")
Binding site feature distribution
Code
fig, axes = plt.subplots(1, 4, figsize=(9, 5))
sns.violinplot(
y=receptors_df1['sub_classs'],
x=receptors_df1['hpss'],
hue=receptors_df1['sub_classs'],
ax=axes[0]
)
axes[0].set_xlabel('Hydrophobicity')
axes[0].set_ylabel('Receptors sub-family')
sns.violinplot(
y=receptors_df1['sub_classs'],
x=receptors_df1['areass'],
hue=receptors_df1['sub_classs'],
ax=axes[1]
)
axes[1].set(yticklabels=[])
axes[1].set_ylabel('')
axes[1].set_xlabel('Area')
sns.violinplot(
y=receptors_df1['sub_classs'],
x=receptors_df1['seedss_a'],
hue=receptors_df1['sub_classs'],
ax=axes[2]
)
axes[2].set(yticklabels=[])
axes[2].set_ylabel('')
axes[2].set_xlabel('Alpha seeds')
sns.violinplot(
y=receptors_df1['sub_classs'],
x=receptors_df1['seedss_b'],
hue=receptors_df1['sub_classs'],
ax=axes[3]
)
axes[3].set(yticklabels=[])
axes[3].set_ylabel('')
axes[3].set_xlabel('Beta seeds')
plt.tight_layout()
plt.show()