ArticleComputational and structural biotechnology journal2024
Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations.
Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Edible Fungal Polysaccharide-Liposome: Interfacial Interactions, Structure-Function Relationship, and Emerging Application in Oral Delivery and Functional Foods.International journal of molecular sciences · 2026Review
- Liposomal and Micellar-Based Nanoformulations of Fluorinated Curcumin Derivative and Naringenin-Comparative Studies.Nanomaterials (Basel, Switzerland) · 2026Article
- Machine learning-enhanced nano-QSAR and multiscale modeling for predictive nanomedicine: applications in herbal therapeutics and neglected tropical diseases.Discover nano · 2026Review
- Liposomal Myricetin Nanoantioxidants Attenuate Methotrexate-Induced Hepatotoxicity by Modulating Oxidative Stress, Inflammation, and Apoptosis in Rats.Antioxidants (Basel, Switzerland) · 2026Article
- Investigation and Mechanism of Coumarin for Potential Anti-Epileptic Targets usingCNS & neurological disorders drug targets · 2026Article
- Development and Validation of RP-HPLC Method forACS omega · 2025Article
- Nanomedicines for the treatment of genitourinary neoplasms.Materials today. Bio · 2025Review
- Protective Effects Proanthocyanidin Nanoliposome Freeze-Dried Powder on Oxidative Injury in a p31-43 Induced Celiac Disease Cell Model.Food science & nutrition · 2025Article
- Transgenic zebrafish embryos to evaluate the in vivo effects of different liposome-paclitaxel nanocarrier system.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Liposomes, nanoscale spherical structures composed of amphiphilic lipids, hold great promise for various pharmaceutical applications, especially as nanocarriers in targeted drug delivery, due to their biocompatibility, biodegradability, and low immunogenicity. Understanding the factors influencing their physicochemical properties is crucial for designing and optimizing liposomes. In this study, we have presented the kernel-weighted local polynomial regression (KwLPR) nano-quantitative structure-property relationships (nano-QSPR) model to predict the zeta potential (ZP) based on the structure of 12 liposome formulations, including 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE), 3ß-[N-(N',N'-dimethylaminoethane)-carbamoyl]cholesterol (DC-Chol), 1,2-dioleoyl-3-trimethylammonium-propane (DOTAP), and L-α-phosphatidylcholine (EPC). The developed model is well-fitted (
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Registered trials
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