In the current active exploration of developing new therapeutic molecules and carrier systems using cell-penetrating peptides (CPPs) in the biotechnology and pharmaceutical industries, CD ComputaBio stands out with its rich experience and advanced computational platforms, providing professional cell-penetrating peptide computational design services to the biotechnology and pharmaceutical sectors.
Cell-penetrating peptides (CPPs) are short peptides that efficiently cross cell membranes, preserving cellular integrity. They enable the delivery of bioactive molecules, therapeutics, and theranostic agents into cells. This is crucial for macromolecules, which struggle to permeate membranes. Research highlights CPPs as excellent tools for intracellular delivery of oligonucleotides, siRNA, anticancer drugs, bioimaging agents, DNA, nanoparticles, proteins, and other peptides. Their ability to enhance intracellular transport is vital for advancing drug delivery and therapeutic applications.
Fig. 1 Schematic drawings representing the cell-penetrating peptide (CPP)-based technologies. (De Martini L B, et al., 2023)
Cell-penetrating peptides are attracting significant attention due to their multifunctional, customizable, and 'Trojan horse' delivery properties that can evade the immune system. However, the current rational design process is limited, requiring multiple rounds of peptide synthesis and wet lab validation, which is costly. Artificial intelligence brings new opportunities to its design, which can predict its physicochemical properties, secondary structures, and in vivo behaviors such as toxicity and peptidase degradation. By using machine learning to predict the penetration ability of amino acid sequences, it is expected to reduce development costs and increase delivery success rates.
Fig. 2 AI-driven design of cell-penetrating peptides. (Ma H, et al., 2024)
CD ComputaBio, leveraging cutting-edge technologies, focuses on the computational design services of cell-penetrating peptides. We utilize computational strategies such as cheminformatics filters, molecular dynamics simulations, artificial intelligence algorithms, and statistical models to efficiently and cost-effectively assist clients in developing high-activity cell-penetrating peptides, meeting a variety of research and industrial needs.
Cell-Penetrating Peptides Prediction
We offer cell-penetrating peptide prediction services, utilizing machine learning and other algorithms to rapidly screen peptide sequences with high cell penetration capabilities, accelerating the development of drug delivery systems.
Peptide-Membrane Interaction Modeling
CD ComputaBio employs molecular dynamics simulations to reveal the dynamic interactions between peptides and cell membranes, providing in-depth understanding of the penetration mechanisms, and optimizing peptide sequence design.
By analyzing large amounts of data on known cell-penetrating peptides, key features are identified and predictive models are built to distinguish between penetrating and non-penetrating peptides, improving research and development efficiency.
Study the dynamic interactions between cell-penetrating peptides and cell membranes. By simulating the behavior of peptides in the membrane environment, key steps and mechanisms of action during the penetration process are revealed, providing a basis for optimizing peptide sequences.




Cell-penetrating peptides have broad application prospects in drug delivery and gene therapy. If you are interested in CD ComputaBio's computational cell-penetrating peptide design services, please feel free to contact us.
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CD ComputaBio offers computation-driven peptide design services to research institutions, pharmaceutical, and biotechnology companies.