If you don't have the SMILES structure, you can use our Compound Drawing Tool to create your own compound structure. After drawing, click the "Get SMILES" button to generate the SMILES. Then click "Add to Form" to automatically add the SMILES to the prediction form.
The predicted results are presented in a table.
Users can download the results directly or click the "Evaluate" button to use the results on the evaluate page.
Detailed results are shown after clicking the "View" button.
The evaluation results are presented in a table.
The connectivity score, derived from gene set enrichment analysis, quantifies the relationship between transcriptional profiles. This score spans from -1 to 1:
This scoring system allows us to measure the degree of relationship between different gene expression patterns. Negative values represent a reversal in gene expression patterns, while positive values indicate similarity. The closer the score is to either extreme (-1 or 1), the stronger the relationship, whether it's opposition or similarity.
The repurposing results are presented in a table.
The connectivity score, derived from gene set enrichment analysis, quantifies the relationship between transcriptional profiles. This score spans from -1 to 1:
This scoring system allows us to measure the degree of relationship between different gene expression patterns. Negative values represent a reversal in gene expression patterns, while positive values indicate similarity. The closer the score is to either extreme (-1 or 1), the stronger the relationship, whether it's opposition or similarity.
For more detailed information about DeepICER, including methodology, limitations, and best practices, please refer to our recently publication on ### or contact our support team. Additionally, detailed parameters such as the software dependencies and versions used for training have been systematically organized and uploaded to the project's GitHub repository.