CellPPDMod

CellPPDMod predicts the cell-penetration potential of chemically modified cell-penetrating peptides (CPPs), also referred to as CellPPD-Mods, to guide design of therapeutically relevant CPPs with improved stability and reduced immunogenicity and endosomal entrapment.


Key Features:

  • Prediction of Modified Peptides: Predicts the cell-penetration efficiency of chemically modified peptides beyond natural amino acid sequences.
  • Addressing Limitations: Assesses and guides modifications to overcome common challenges of natural CPPs, including stability, immunogenicity, and endosomal entrapment.
  • Therapeutic Design: Aids the design and optimization of CPPs for therapeutic applications and drug delivery.

Scientific Applications:

  • Drug Delivery: Enables prediction and optimization of modified CPPs as vehicles to transport therapeutic agents into cells, aiming to improve efficacy and reduce side effects.

Methodology:

Employs computational algorithms to simulate and predict the behavior of chemically modified peptides in cellular environments, enabling rapid screening and optimization of CPPs prior to experimental validation.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
4/4/2022
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Peptide immunogenicity prediction

Publications

Kumar V, Raghava GPS. In Silico Design of Chemically Modified Cell-Penetrating Peptides. Methods in Molecular Biology. 2021. doi:10.1007/978-1-0716-1752-6_4. PMID:34766282.