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The organelle-specific signaling sequences direct proteins synthesized in the cytosol to their final destination like ER, mitochondria, peroxisomes, etc. Some of the proteins directed to ER are then trafficked via vesicles to other organelles within the cell or the extracellular environment through the Golgi complex. For example, the rough ER synthesizes soluble proteins for transportation to the lysosomes or secretion out of the cell. It can also synthesize transmembrane proteins that can...
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Related Experiment Video

Updated: Jan 10, 2026

Studying Protein Function and the Role of Altered Protein Expression by Antibody Interference and Three-dimensional Reconstructions
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Pre-programming the protein corona: From avoidance to endogenous targeting.

Nalla Usha Kumari1, Sri Pada Datta Chigurupati1, Naveen Rajana1

  • 1Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana 500037, India.

Journal of Controlled Release : Official Journal of the Controlled Release Society
|November 22, 2025
PubMed
Summary
This summary is machine-generated.

The protein corona (PC) changes nanocarrier identity, impacting drug delivery. Manipulating the PC enables targeted delivery by leveraging endogenous ligands and AI for optimized nanomaterial design.

Keywords:
Endogenous targetingNano-bio interactionsNano-biointerfacePredefined PCProtein coronaTargeted delivery

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Area of Science:

  • Nanomedicine
  • Biomaterials Science
  • Drug Delivery Systems

Background:

  • The protein corona (PC) forms on nanocarriers in vivo, altering their biological identity and interactions.
  • Understanding PC formation is crucial for predicting nanocarrier behavior and optimizing drug delivery.
  • Current research focuses on manipulating the PC for enhanced targeting and therapeutic efficacy.

Purpose of the Study:

  • To analyze the impact of the protein corona on nanocarrier biofate and in vivo behavior.
  • To review methods for modulating PC composition to achieve endogenous targeting.
  • To highlight the role of artificial intelligence in predicting PC formation and function.

Main Methods:

  • Review of existing literature on protein corona formation and its impact on nanocarriers.
  • Analysis of strategies for modulating PC composition for targeted drug delivery.
  • Discussion of the application of artificial intelligence in predicting corona-protein interactions.

Main Results:

  • The PC significantly alters nanocarrier properties, influencing interactions with biological systems.
  • Modulating PC composition can enable endogenous targeting via specific ligand adsorption.
  • Artificial intelligence shows promise in predicting PC formation and guiding nanocarrier design.

Conclusions:

  • The protein corona is a critical determinant of nanocarrier biofate and therapeutic outcomes.
  • Targeted modulation of the PC is a viable strategy for enhancing nanomedicine efficacy.
  • AI integration offers powerful tools for rational design of advanced nanocarriers for drug delivery.