PEPsRNA: A computational resource of experimentally tested peptide based siRNA delivery

Abstract In siRNA-based applications, cellular delivery remains one of the main hurdles. Many formulations are tested for the same and peptides came up as one of the optimal options. The latter have various advantages like natural biological presence, high specificity, and natural metabolism etc. siRNA in conjugation with peptides have exhibited enhanced mRNA silencing. Peptides aid siRNAs in condensation to smaller volumes, enhance nuclease protection, increase half-life, promote cell specific binding as well as endosomal escape and release in cytosol. Despite its prime importance, no resource is available for the peptide-based delivery of siRNAs, therefore to fill the gap we developed PEPsRNA web server. It includes 2266 entries of 270 different kinds of peptides, 106 different types of siRNAs and shRNAs along with more than 80 conjugate molecules targeting 55 different genes, experimentally tested for the delivery of the siRNAs. To provide the detailed insights of the procedure, we have incorporated analysis of the peptides (e.g. secondary structure, amino acid composition, polarity, hydrophobicity etc.), siRNAs (e.g. secondary structures with minimum free energies etc.) and associated conjugate molecules (e.g. structure, SMILES, Inchl). We have derived these values using various other tools and resources to make the web server comprehensive. We further compared various physicochemical properties with the efficacy of the peptide based on the target gene silencing, but these properties do not shown any distinct conclusive relationship. The data is available for browsing, searching and downloading freely on the web server with URL: http://bioinfo.imtech.res.in/manojk/pepsirna. Highlights ➣ PEPsRNA is the first database of experimentally tested peptides for siRNA delivery ➣ It comprised of 2266 entries with 270 peptides and about 80 conjugate molecules ➣ Analysis of peptides, siRNAs and details of conjugate molecules are provided ➣ Browse, search and various tools are incorporated for data retrieval and usage Competing Interest Statement The authors have declared no competing interest.