Example workflow using KLIFS nodes in KNIME - identifying structures with similar molecules
<p>This is KNIME workflow created during the recording of the following <a href="https://www.youtube.com/channel/UCzSo1G_wyTv1vp42AhFDT8A">YouTube demonstration video</a>.</p> <p>Using this workflow, the user can draw a molecule and compare this molecule to all ligands from the KLIFS database (<a href="https://klifs.net">https://klifs.net</a>) to identify structures with molecules that are similar to the drawn molecule.</p> <p>In this workflow the follow steps are performed:</p> <ul> <li>Draw a molecule</li> <li>Collect all kinase ligands with a known structures from KLIFS</li> <li>Compare all KLIFS ligands to the drawn molecule using the ECFP-4 fingerprint and calculate a Tanimoto score </li> <li>Select the highest scoring three ligands and search for their PDB structures</li> <li>Collect the MOL2 files of the ligands as observed while binding in the PDB structures (note: all the PDB structures were first aligned by KLIFS)</li> </ul>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0