Unmatched

The Unmatched Sub-family includes Unmatched surface proteins.

To have direct access to each entry in Unmatched main family, click on its uniprot id on the left bar.

Binding site feature correlation

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')

unmatched_df1 = df_total_flat.loc[df_total_flat['main_classs'] == "Unmatched"]
ax = sns.lmplot(
    data=unmatched_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

fig, axes = plt.subplots(1, 4, figsize=(9, 5))
sns.violinplot(
    y=unmatched_df1['sub_classs'],
    x=unmatched_df1['hpss'],
    hue=unmatched_df1['sub_classs'],
    ax=axes[0]
)
axes[0].set_xlabel('Hydrophobicity')
axes[0].set_ylabel('Unmatched')

sns.violinplot(
    y=unmatched_df1['sub_classs'],
    x=unmatched_df1['areass'],
    hue=unmatched_df1['sub_classs'],
    ax=axes[1]
)
axes[1].set(yticklabels=[])
axes[1].set_ylabel('')
axes[1].set_xlabel('Area')

sns.violinplot(
    y=unmatched_df1['sub_classs'],
    x=unmatched_df1['seedss_a'],
    hue=unmatched_df1['sub_classs'],
    ax=axes[2]
)
axes[2].set(yticklabels=[])
axes[2].set_ylabel('')
axes[2].set_xlabel('Alpha seeds')

sns.violinplot(
    y=unmatched_df1['sub_classs'],
    x=unmatched_df1['seedss_b'],
    hue=unmatched_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()