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Published on: June 13, 2014
Biomolecular Interfaces in Targeted Nano-Drug Delivery: Molecular Recognition, Signaling Modulation, and
Zeyu Wang1,2, Lixia Dai1, Zhen Zhu2
1Key Laboratory of New Animal Drug Project, Gansu Province, Key Laboratory of Veterinary Pharmaceutical Development of Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Biomolecularly inspired nano-drug delivery systems enhance drug bioavailability and reduce toxicity. This review explores their molecular mechanisms, targeting strategies, and applications in oncology and inflammatory diseases.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Pharmacology
Background:
- Traditional drug delivery faces challenges like poor bioavailability and systemic toxicity.
- Nano-drug delivery systems (nano-DDS) offer precise therapeutic interventions by managing molecular interactions.
- Understanding bio-nano interface mechanisms is crucial for optimizing nano-DDS efficacy.
Purpose of the Study:
- To systematically review molecular recognition mechanisms and biochemical principles of nano-DDS.
- To evaluate passive and active targeting strategies for enhanced cellular uptake.
- To examine bioresponsive release mechanisms and structure-function relationships for therapeutic applications.
Main Methods:
- Literature review focusing on molecular recognition and biochemical principles.
- Analysis of passive targeting via the EPR effect and active targeting via ligand-receptor interactions.
- Evaluation of bioresponsive strategies utilizing pathological cues (pH, redox, enzymes).
Main Results:
- Passive targeting depends on nanocarrier properties and the EPR effect.
- Active targeting leverages ligand-receptor affinity for improved cellular uptake.
- Bioresponsive systems enable on-demand drug release based on disease microenvironments.
Conclusions:
- Nano-DDS show promise in overcoming traditional pharmacotherapy limitations.
- Structure-function insights guide applications in oncology and inflammatory diseases.
- AI-driven design and addressing translational hurdles are key for future development.
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