Evidence map›Paper›PMID 41292977›Full record

ArticlebioRxiv : the preprint server for biology2025

Mechanistic Understanding of Protein-MOF Integration through Surfactant-Driven Interfacial Design.

Ehsan Rashidniyaghi, Mohammad Khavani, Carlie Coerver, Ruibin Liang, Raheleh Ravanfar

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ehsan RashidniyaghiDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, United States.
Mohammad KhavaniDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, United States.
Carlie CoerverDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, United States.
Ruibin LiangDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, United States.ORCID 0000-0001-8741-1520
Raheleh RavanfarDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas, United States.ORCID 0000-0003-2992-0575

Funding

ChimeraX -- Next Generation Visualization and Analysis Software for Multiscale ModelingR01GM129325 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2018 to 2025
$5.2M
Understanding electronically non-adiabatic reactions in biomolecules with multiscale simulationsR35GM150780 · NIGMS · TEXAS TECH UNIVERSITY · PI Ruibin Liang · 2023 to 2026
$1.4M
NIGMS NIH HHS R01 GM129325NIGMS NIH HHS R35 GM150780
6 · The paper itself

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.

Indexed as

interfacial designsmetal–organic frameworksmolecular mechanismsproteinssurfactants

Identifiers

PMID41292977
PMCPMC12642519

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.