APAP, a sequence-pattern recognition approach identifies substance P as a potential apoptotic peptide

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Abstract

We have previously described a novel cancer chemotherapeutic approach based on the induction of apoptosis in targeted cells by homing pro-apoptotic peptides. In order to improve this approach we developed a computational method (approach for detecting potential apoptotic peptides, APAP) to detect short PAPs, based on the prediction of the helical content of peptides, the hydrophobic moment, and the isoelectric point. PAPs are toxic against bacteria and mitochondria, but not against mammalian cells when applied extracellularly. Among other peptides, substance P was identified as a PAP and subsequently demonstrated to be a pro-apoptotic peptide experimentally. APAP thus provides a method to detect and ultimately improve pro-apoptotic peptides for chemotherapy. © 2001 Published by Elsevier Science B.V.

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Del Rio, G., Castro-Obregon, S., Rao, R., Ellerby, H. M., & Bredesen, D. E. (2001). APAP, a sequence-pattern recognition approach identifies substance P as a potential apoptotic peptide. FEBS Letters, 494(3), 213–219. https://doi.org/10.1016/S0014-5793(01)02348-1

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