Prediction of cell-penetrating peptides

Cell-penetrating peptides, CPPs, are used as delivery vectors for pharmacologically interesting substances, such as antisense oligonucleotides, proteins and peptides. We present a general principle for designing cell-penetrating peptides derived from naturally occurring proteins as well as from randomly generated polyamino acid sequences. Thereby, we introduce a novel pharmacological principle for identification of cell-penetrating peptides for which the applications can be numerous, including cellular transduction vectors and mimics of intracellular protein-protein interactions. The methods of identifying a CPP comprises assessing the averaged bulk property values of the defined sequence, and ensuring that they fall within the bulk property value interval obtained from the training set. Despite this simplistic approach, the search criteria proved useful for finding CPP properties in either proteins or random sequences. We have experimentally verified cell-penetrating properties of 10-20-mer peptides derived from naturally occurring proteins as well as from random poly-amino acids. We note that since CPPs can be found in part of the protein sequences that may govern protein interactions, it is possible to produce cell-penetrating protein agonists or antagonists.