Llwytho...
Rosetta Machine Learning Models Accurately Classify Positional Effects of Thioamides on Proteolysis
Thioamide substitutions of the peptide backbone have been shown to stabilize therapeutic and imaging peptides toward proteolysis. In order to rationally design thioamide modifications, we have developed a novel Rosetta custom score function to classify thioamide positional effects on proteolysis in...
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | J Phys Chem B |
|---|---|
| Prif Awduron: | , , , , , , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
2020
|
| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7759720/ https://ncbi.nlm.nih.gov/pubmed/32869996 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jpcb.0c05981 |
| Tagiau: |
Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
|