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

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Booth, J; Alexandru-Crivac, CN; Rickaby, KA; Nneoyiegbe, AF; Umeobika, U; McEwan, AR; Trembleau, L; Jaspars, M; Houssen, WE; Shalashilin, D;

An in silico computational technique for predicting peptide sequences that can be cyclized by cyanobactin macrocyclases, e.g., PatGmac, is reported. We demonstrate that the propensity for PatGmac-mediated cyclization correlates strongly with the free energy of the so-ca... View more