ArticleFrontiers in microbiology2018
Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues.
Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed.
- SSEL-CPP: A SHAP-based feature-selection ensemble learning framework identifies molecular properties of cell-penetrating peptides.Protein science : a publication of the Protein Society · 2026Article
- Scaling SMILES-based chemical language models for therapeutic peptide engineering.bioRxiv : the preprint server for biology · 2026Article
- Integrative Peptide Drug Development: Chemical Engineering, AI-Driven Design, and Cell-Penetrating Peptides.Pharmaceutics · 2026Review
- Truncated pardaxin derivative D18.13 induces selective breast cancer apoptosis via predicted targeting of MAPK8.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Article
- pCPPs-sADNN: predicting cell-penetrating peptides using self-attention based deep neural network.Scientific reports · 2025Article
- Strategic targeting of AckA in Mycobacterium tuberculosis using peptide inhibitors.Archives of microbiology · 2025Article
- PerseuCPP: a machine learning strategy to predict cell-penetrating peptides and their uptake efficiency.Bioinformatics advances · 2025Article
- Exploring the Chemical Features and Biomedical Relevance of Cell-Penetrating Peptides.International journal of molecular sciences · 2024Review
- Interpretable molecular encodings and representations for machine learning tasks.Computational and structural biotechnology journal · 2024Article
- Machine learning for antimicrobial peptide identification and design.Nature reviews bioengineering · 2024Article
- POSEIDON: Peptidic Objects SEquence-based Interaction with cellular DOmaiNs: a new database and predictor.Journal of cheminformatics · 2024Article
- Short Fragmented Peptides fromCurrent drug discovery technologies · 2024Article
- A bird's-eye view of the biological mechanism and machine learning prediction approaches for cell-penetrating peptides.Frontiers in artificial intelligence · 2024Review
- Purification and characterization of a novel immunoregulatory peptide fromFood science & nutrition · 2023Article
- Antioxidant, Collagenase Inhibitory, and Antibacterial Effects of Bioactive Peptides Derived from Enzymatic Hydrolysate ofMarine drugs · 2023Article
- Cell-Permeable PROTAC Degraders against KEAP1 Efficiently Suppress Hepatic Stellate Cell Activation through the Antioxidant and Anti-Inflammatory Pathway.ACS pharmacology & translational science · 2023Article
- Designing Anti-Microbial Peptides Against Major β-Lactamase Enzymes in Clinically Important Gram-Negative Bacterial Pathogens: An In-Silico Study.Probiotics and antimicrobial proteins · 2022Article
- BBPpredict: A Web Service for Identifying Blood-Brain Barrier Penetrating Peptides.Frontiers in genetics · 2022Article
- In Silico Design of Chemically Modified Cell-Penetrating Peptides.Methods in molecular biology (Clifton, N.J.) · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Designing drug delivery vehicles using cell-penetrating peptides is a hot area of research in the field of medicine. In the past, number of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.