CellPPD-MOD

Modified Cell Penetrating Peptides Prediction Server

Welcome to CellPPD-Mod

CellPPD-Mod is an in silico method, which is developed to predict efficient modified cell penetrating peptides (CellPPD-Mods). The main dataset used in this method consists of 732 experimentally validated Modified CPPs as well as Non-CPPs.

Major Features include:

(1) Prediction: This module is the main module which allows user to predict whether a given modified peptide is CPP or non-CPP.This module accept the pdb file as input file. User can provide its own structure or we will advice user to predict the structure using PepStrMOD.
(2) Subsidiary Module: We have also provided the provision of predicting CPP or non-CPP using peptide sequence. Link of this page is provided in our main prediction module.
(3) Mutational Series: We have also provided the provision of generating analogs of submitted peptide and its prediction as CPP or non-CPP. Link of this page is provided in our main prediction module.
(4) Download: This module of CellPPD-Mod allows user to download the dataset used in this study.


Reference:

  • Kumar V. et al. (2018) Prediction of cell-penetrating potential of modified peptides containing natural and chemically modified residues. Front. Microbiol. doi: 10.3389/fmicb.2018.00725
  • Kumar V, Raghava GP (2021) In Silico Design of Chemically Modified Cell-Penetrating Peptides. Methods Mol Biol. 2022;2383:63-71.