The [Molecular Property Prediction](dashboard:XvuFy57) Dashboard is an automatically generated template of visualisations, statistics and models that showcase the storyline of this solutions. Four tabs:
1. **Target Protein Analysis** presents the metadata of the selected target protein and several molecules. The 1D molecular descriptors provide information about a molecule's size, shape, polarity, and functional groups. The Correlation matrix card shows a visual table of the pairwise correlations for multiple variables in your dataset using Spearman’s rank correlation coefficient. The Parallel coordinates plot provides a graphical way to visualize a dataset across many dimensions. Each point in the dataset corresponds to a multiline, which joins all of the parallel axes at the values taken by the data point.
2. The **Chemical Space Analysis** allows the users to visualize, explore, and analyze the relationships between molecular structures and their properties. In this solution, we analyze the molecular and fingerprint descriptors of the studied molecules. 
3. **Novel Molecule Seach** tab publishes the machine learning model trained on studied molecule. The scoring results for the novel molecules are presented through statistical analysis. The pivot table with the prediction score and the molecular descriptors of the novel molecules enable the user to  filter down to the search space of interest and prioritize the compounds to pursue further. 
4. The **Molecular Similarity** tab consists of a standard webapp that updates the analysis of a novel molecule scored. The graph displays the images of the highest-scored studied molecules with a similar structure to the New molecule of interest.

![dashboard.png](dNwjXwJQBnly)


