The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Tumor-targeting peptides from combinatorial libraries
Open accessAbstract
Cancer is one of the major and leading causes of death worldwide. Two of the greatest challenges infighting cancer are early detection and effective treatments with no or minimum side effects. Widespread use of targeted therapies and molecular imaging in clinics requires high affinity, tumor-specific agents as effective targeting vehicles to deliver therapeutics and imaging probes to the primary or metastatic tumor sites. Combinatorial libraries such as phage-display and one-bead one-compound (OBOC) peptide libraries are powerful approaches in discovering tumor-targeting peptides. This review gives an overview of different combinatorial library technologies that have been used for the discovery of tumor-targeting peptides. Examples of tumor-targeting peptides identified from each combinatorial library method will be discussed. Published tumor-targeting peptide ligands and their applications will also be summarized by the combinatorial library methods and their corresponding binding receptors.
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Therapeutic siRNA: state of the art
Hu, B., Zhong, L., Weng, Y., Peng, L., Huang, Y., Zhao, Y., & Liang, X.-J. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0207-x · Cited by 1,586
Combinatorial chemistry in drug discovery
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Self-citationPeptide ligand-mediated targeted drug delivery of nanomedicines
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Generation of peptides using phage display technology for cancer diagnosis and molecular imaging
Pung, H. S., Tye, G. J., Leow, C. H., Ng, W. K., & Lai, N. S. (2023) · Molecular Biology Reports · doi:10.1007/s11033-023-08380-x · Cited by 30
Lin, H., Zhu, C., Shang, T., Zhu, N., Lin, K., Zhang, C., Shao, X., Wang, X., & Duan, H. (2025) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5c00896 · Cited by 10
Metadata
- Authors
- Liu, R., Li, X., Xiao, W., & Lam, K. S.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 110-111
- Pages
- 13-37
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W2394642790
- Cited by
- 199
- References
- 5
- FWCI
- 1.41
- Type
- journal article
- Language
- en
- Open access
- green
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