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Peer-reviewedCC BYAdvanced Science

Mechanistic Understanding of Protein–MOF Integration Through Surfactant‐Driven Interfacial Design

  1. 1Department of Chemistry and Biochemistry Texas Tech University Lubbock Texas USA
  2. 2Texas Tech University

Abstract

Integration of proteins into metal-organic frameworks (Protein@MOF) represents an effective method for protein stabilization, with rising demand across material and biomedical sciences. However, the molecular mechanism of protein-MOF interactions remains unsettled due to challenges in developing a general platform to systematically investigate such interactions, hindering improvements in their chemical and physical properties. Here, we develop a surfactant-guided strategy to modulate the assembly of protein@MOF through interfacial design. We discovered that the interfacial environment between proteins and MOFs is the primary factor determining encapsulation efficiency, structural retention, and functional performance. Lipid-based non-ionic surfactants such as glycerol monooleate (GMO) increase the protein's solvent-accessible surface area (SASA), suggesting partial remodeling of the protein surface and hydration shell. GMO at the interface of protein@MOF results in a 20% improvement in protein encapsulation and a 30% increase in MOF growth rate. All-atom molecular dynamics simulations reveal domain-specific interactions between GMO and flexible surface residues on protein in a concentration-dependent manner, involving both electrostatic and hydrophobic contacts. This work offers new molecular insights into how surfactant-driven interfacial design fine-tunes the stability of protein@MOF, laying the foundation for robust alternatives to lipid nanodiscs for membrane protein stabilization, and protein-based platforms for drug-delivery, biocatalysis, and biosensing.

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BibTeX
@article{rashidniyaghi2026mechanistic,
  title = {{Mechanistic Understanding of Protein–MOF Integration Through Surfactant‐Driven Interfacial Design}},
  author = {Ehsan Rashidniyaghi and Mohammad Khavani and Carlie Coerver and Ruibin Liang and Raheleh Ravanfar},
  journal = {Advanced Science},
  year = {2026},
  month = jun,
  doi = {10.1002/advs.76011},
  url = {https://doi.org/10.1002/advs.76011},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Mechanistic Understanding of Protein–MOF Integration Through Surfactant‐Driven Interfacial Design
AU  - Ehsan Rashidniyaghi
AU  - Mohammad Khavani
AU  - Carlie Coerver
AU  - Ruibin Liang
AU  - Raheleh Ravanfar
PY  - 2026
DA  - 2026/06/09
JO  - Advanced Science
DO  - 10.1002/advs.76011
UR  - https://doi.org/10.1002/advs.76011
AB  - Integration of proteins into metal-organic frameworks (Protein@MOF) represents an effective method for protein stabilization, with rising demand across material and biomedical sciences. However, the molecular mechanism of protein-MOF interactions remains unsettled due to challenges in developing a general platform to systematically investigate such interactions, hindering improvements in their chemical and physical properties. Here, we develop a surfactant-guided strategy to modulate the assembly of protein@MOF through interfacial design. We discovered that the interfacial environment between proteins and MOFs is the primary factor determining encapsulation efficiency, structural retention, and functional performance. Lipid-based non-ionic surfactants such as glycerol monooleate (GMO) increase the protein's solvent-accessible surface area (SASA), suggesting partial remodeling of the protein surface and hydration shell. GMO at the interface of protein@MOF results in a 20% improvement in protein encapsulation and a 30% increase in MOF growth rate. All-atom molecular dynamics simulations reveal domain-specific interactions between GMO and flexible surface residues on protein in a concentration-dependent manner, involving both electrostatic and hydrophobic contacts. This work offers new molecular insights into how surfactant-driven interfacial design fine-tunes the stability of protein@MOF, laying the foundation for robust alternatives to lipid nanodiscs for membrane protein stabilization, and protein-based platforms for drug-delivery, biocatalysis, and biosensing.
SN  - 2198-3844
ER  -