SEEK ID: https://dev.workflowhub.eu/people/50
Location:
Italy
ORCID:
https://orcid.org/0000-0001-8271-5429
Joined: 1st Dec 2020
Expertise: Not specified
Tools: Not specified

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Web page: Not specified
Prostate cancer classification workflow
This workflow segments tissue regions and classifies prostate cancer on H&E whole slide images, using AI. It consists of three steps:
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low-resolution tissue segmentation to select areas for further processing;
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high-resolution tissue segmentation to refine borders - it uses step 1 as input;
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high-resolution normal/cancer classification - it uses step 1 as input.
Tissue segmentation workflow
This workflow performs tissue segmentation on H&E whole slide images using AI.
Fragment-based virtual screening with docking and pose scoring
Dock a compound library against a target protein with rDock and validate the poses generated against a reference fragment using SuCOS to compare the feature overlap. Poses are filtered by a user-specified SuCOS threshold.
A list of fragments should be specified which will be used to define the cavity for docking, using the 'Frankenstein ligand' technique. For more details, please see https://www.informaticsmatters.com/blog/2018/11/23/cavities-and-frankenstein-molecules.html ...
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