A Blind Test of Computational Technique for Predicting the Likelihood of Peptide Sequences to Cyclize

[Image: see text] An in silico computational technique for predicting peptide sequences that can be cyclized by cyanobactin macrocyclases, e.g., PatG(mac), is reported. We demonstrate that the propensity for PatG(mac)-mediated cyclization correlates strongly with the free energy of the so-called pre...

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Detalles Bibliográficos
Autores principales: Booth, Jonathan, Alexandru-Crivac, Christina-Nicoleta, Rickaby, Kirstie A., Nneoyiegbe, Ada F., Umeobika, Ugochukwu, McEwan, Andrew R., Trembleau, Laurent, Jaspars, Marcel, Houssen, Wael E., Shalashilin, Dmitrii V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441752/
https://www.ncbi.nlm.nih.gov/pubmed/28475844
http://dx.doi.org/10.1021/acs.jpclett.7b00848

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441752/
https://www.ncbi.nlm.nih.gov/pubmed/28475844
http://dx.doi.org/10.1021/acs.jpclett.7b00848

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