CellPPD: In silico approaches for designing highly effective cell penetrating peptides

CellPPD is a specialized computational resource developed to identify, design, and scan for Cell-Penetrating Peptides (CPPs). These short peptides (typically under 30 amino acids) serve as versatile transport vehicles for delivering molecular cargoes—such as oligonucleotides, small molecules, and proteins—into the interior of cells, overcoming the challenge of low bioavailability. Web Server: https://webs.iiitd.edu.in/raghava/cellppd/ Citation Gautam, A., Chaudhary, K., Kumar, R., Sharma, A., Kapoor, P., Tyagi, A., & Raghava, G. P. S. (2013). In silico approaches for designing and predicting highly effective cell penetrating peptides. Journal of Translational Medicine, 11, 74. https://doi.org/10.1186/1479-5876-11-74 About the Research The therapeutic potential of CPPs is vast, but experimental identification is time-consuming. CellPPD was developed to allow for the rapid screening and discovery of these peptides using machine learning models trained on experimentally validated data. Dataset: The models were developed using a main dataset of 708 experimentally validated CPPs and an equal number of non-CPPs. Methodology: The platform utilizes Support Vector Machine (SVM) models alongside motif-based searches to provide high-precision predictions.