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Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition
We show that machine learning can pinpoint features distinguishing inactive from active states in proteins, in particular identifying key ligand binding site flexibility transitions in GPCRs that are triggered by biologically active ligands. Our analysis was performed on the helical segments and loo...
Shranjeno v:
| izdano v: | Biomolecules |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7175283/ https://ncbi.nlm.nih.gov/pubmed/32183371 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/biom10030454 |
| Oznake: |
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