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Updated: Aug 29, 2026

Multi-Faceted Mass Spectrometric Investigation of Neuropeptides in Callinectes sapidus
Published on: May 31, 2022
From precursor to final peptides: a statistical sequence-based approach to predicting prohormone processing
Amanda B Hummon1, Norman P Hummon, Rebecca W Corbin
1Department of Chemistry and the Beckman Institute, University of Illinois, Urbana, Illinois 61801, USA.
Abstract:
Predicting the final neuropeptide products from neuropeptides genes has been problematic because of the large number of enzymes responsible for their processing. The basic processing of 22 Aplysia californica prohormones representing 750 cleavage sites have been analyzed and statistically modeled using binary logistic regression analyses. Two models are presented that predict cleavage probabilities at basic residues based on prohormone sequence. The complex model has a correct classification rate of 97%, a sensitivity of 97%, and a specificity of 96% when tested on the Aplysia dataset.
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