Emap2Lig-Find
Job ID : 14a2b336c05ba5ae80cb195619ac2d55
Emap2Lig-Find is a computational tool using deep learning to automatically identify candidate ligand binding sites from cryo-EM maps. It detects density blobs that likely correspond to small molecule ligands. You can visualize each blob by clicking the blob button. The number assigned to each blob is just an index, not a ranking. To proceed with ligand fitting on the identified sites, use the results with Emap2Lig-Build. If you have any questions about the results, feel free to email Daisuke Kihara (dkihara@purdue.edu) or Shu Li (li3916@purdue.edu) or Anika Jain (anikajain33@gmail.com).
Blobs
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Emap2Lig-Find started
/bio/kihara-web/www/em/emweb-jobscheduler/algorithms/Emap2Lig/.venv/bin/python
giraffe
Status: 0
Blobs: /net/kihara/scratch/webdklab/em-server/14a2b336c05ba5ae80cb195619ac2d55/find_blobs
Successfully done
Job YML created successfully
/bio/kihara-web/www/em/emweb-jobscheduler/algorithms/Emap2Lig/.venv/bin/python
giraffe
Status: 0
Blobs: /net/kihara/scratch/webdklab/em-server/14a2b336c05ba5ae80cb195619ac2d55/find_blobs
Successfully done
Job YML created successfully
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