The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Comprehensive Review on Current Advances in Peptide Drug Development and Design
Open accessAbstract
Protein–protein interactions (PPIs) execute many fundamental cellular functions and have served as prime drug targets over the last two decades. Interfering intracellular PPIs with small molecules has been extremely difficult for larger or flat binding sites, as antibodies cannot cross the cell membrane to reach such target sites. In recent years, peptides smaller size and balance of conformational rigidity and flexibility have made them promising candidates for targeting challenging binding interfaces with satisfactory binding affinity and specificity. Deciphering and characterizing peptide–protein recognition mechanisms is thus central for the invention of peptide-based strategies to interfere with endogenous protein interactions, or improvement of the binding affinity and specificity of existing approaches. Importantly, a variety of computation-aided rational designs for peptide therapeutics have been developed, which aim to deliver comprehensive docking for peptide–protein interaction interfaces. Over 60 peptides have been approved and administrated globally in clinics. Despite this, advances in various docking models are only on the merge of making their contribution to peptide drug development. In this review, we provide (i) a holistic overview of peptide drug development and the fundamental technologies utilized to date, and (ii) an updated review on key developments of computational modeling of peptide–protein interactions (PepPIs) with an aim to assist experimental biologists exploit suitable docking methods to advance peptide interfering strategies against PPIs.
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Cites
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Strategic Approaches to Optimizing Peptide ADME Properties
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Cited by
Therapeutic Peptides: Current Applications and Future Directions
Wang, L., Wang, N., Zhang, W., Cheng, X., Yan, Z., Shao, G., Wang, X., Wang, R., & Fu, C. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00904-4 · Cited by 2,131
Harnessing protein folding neural networks for peptide–protein docking
Tsaban, T., Varga, J. K., Avraham, O., Ben-Aharon, Z., Khramushin, A., & Schueler-Furman, O. (2022) · Nature Communications · doi:10.1038/s41467-021-27838-9 · Cited by 1,205
Zhang, J., Zhang, Y., Wang, J., Xia, Y., Zhang, J., & Chen, L. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01911-3 · Cited by 1,138
“Although large and fl at PPI interfaces may be more conducive to peptide and protein drug targeting, 75,583,584 small molecule inhibitors also play a role in some AD-related PPIs due to their unique advantages.”
BackgroundLipid nanoparticle-mediated drug delivery to the brain
Khare, P., Edgecomb, S. X., Hamadani, C. M., Tanner, E. E. L., & S Manickam, D. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.114861 · Cited by 187
Improving peptide-protein docking with AlphaFold-Multimer using forced sampling
Johansson-Åkhe, I., & Wallner, B. (2022) · Frontiers in Bioinformatics · doi:10.3389/fbinf.2022.959160 · Cited by 162
Metadata
- Authors
- Lee, A. C.-L., Harris, J. L., Khanna, K. K., & Hong, J.-H.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2019-05-14
- Volume
- 20
- Issue
- 10
- Pages
- 2383
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2945669687
- Cited by
- 686
- References
- 4
- FWCI
- 25.28
- Type
- journal article
- Language
- en
- Open access
- gold
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- Lee, A. C.-L., Harris, J. L., Khanna, K. K., & Hong, J.-H. (2019). A Comprehensive Review on Current Advances in Peptide Drug Development and Design. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms20102383
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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