A Jupyter notebook (and Flask web application) for predicting binding affinity of compounds to the MCT8 (SLC16A2) thyroid-hormone transporter using neural-network–enhanced molecular docking (Gnina), to flag candidate Molecular Initiating Events in the developmental thyroid-toxicity case study.

Main Webpage: https://mct8-docking.vhp4safety.nl/
Tool Webpage: https://mct8-docking.vhp4safety.nl/#docking
Contact Person(s): David Poole (d.a.poole@vu.nl)
Provider Institute: David Poole
Service Introduction: MCT8 Docking documentation
Workflow: To be added
Demo: To be added
Stage: https://vhp4safety.github.io/glossary#VHP0000156
Sub-Stage:
Development Cloud: https://mct8-docking.vhp4safety.nl/#docking
Login Required: No
TRL:
Type: internal
API Type: REST
Categories: To be added
Targeted Users: To be added
Relevant VHP4Safety Use Case: To be added
Version: Not available
License: MIT
Source Code: https://github.com/VHP4Safety/MCT8-docking
Docker: Not available
Bio.tools: Not available
FAIRsharing: Not available
RSD: Not available
Wikipedia: Not available