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
Inputs
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.
PMID: 34766282