ArticleJournal of computer-aided molecular design2012
Identification of tissue-specific targeting peptide.
Article in Journal of computer-aided molecular design, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Targeted co-delivery of IL-10 and catalase for cooperative therapeutic effect on acute kidney injury.Bioactive materials · 2025Article
- An unnatural enzyme with endonuclease activity towards small non-coding RNAs.Nature communications · 2023Article
- Circumsporozoite Protein ofPharmaceutics · 2022Article
- Review
- Improving kidney targeting: The influence of nanoparticle physicochemical properties on kidney interactions.Journal of controlled release : official journal of the Controlled Release Society · 2021Review
- Targeting and therapeutic peptide-based strategies for polycystic kidney disease.Advanced drug delivery reviews · 2020Review
- Drug delivery vectors based on filamentous bacteriophages and phage-mimetic nanoparticles.Drug delivery · 2017Review
- Peptide and antibody ligands for renal targeting: nanomedicine strategies for kidney disease.Biomaterials science · 2017Article
- Identification of a Peptide fromJournal of molecular biomarkers & diagnosis · 2014Article
- Development of a peptide by phage display for SPECT imaging of resistance-susceptible breast cancer.American journal of nuclear medicine and molecular imaging · 2014Article
- Transmissible gastroenteritis virus: identification of M protein-binding peptide ligands with antiviral and diagnostic potential.Antiviral research · 2013Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using phage display technique, we identified tissue-targeting peptide sets that recognize specific tissues (bone-marrow dendritic cell, kidney, liver, lung, spleen and visceral adipose tissue). In order to rapidly evaluate tissue-specific targeting peptides, we performed machine learning studies for predicting the tissue-specific targeting activity of peptides on the basis of peptide sequence information using four machine learning models and isolated the groups of peptides capable of mediating selective targeting to specific tissues. As a representative liver-specific targeting sequence, the peptide "DKNLQLH" was selected by the sequence similarity analysis. This peptide has a high degree of homology with protein ligands which can interact with corresponding membrane counterparts. We anticipate that our models will be applicable to the prediction of tissue-specific targeting peptides which can recognize the endothelial markers of target tissues.
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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.