Graphene-oxide surface chemistry governs protein adsorption: molecular docking insights

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Authors: Shiva Shahriari, Murali Sastry, Rk Singh Raman, Santosh Panjikar
Cited by: 4
References: 35

Abstract

Graphene oxide (GO)–protein interactions are fundamental to the performance of GO-based biomaterials, yet the molecular determinants of binding affinity remain insufficiently understood. Here, molecular docking simulations were used to systematically investigate how GO’s intrinsic structural parameters force-field treatment, lattice size, and oxygen-to-carbon (O/C) ratio, govern noncovalent adsorption of bovine serum albumin (BSA). GO models optimized with the Universal Force Field exhibited higher conformational strain but stronger binding affinities, revealing that moderate lattice distortion enhances interfacial reactivity. Increasing GO lateral dimensions did not monotonically improve adsorption, indicating an optimal size that balances contact area with flexibility. Conversely, excessive oxidation diminished binding by disrupting π-conjugation and reducing hydrophobic character. Energy decomposition identified van der Waals, hydrogen-bonding, and hydrophobic forces as dominant contributors at the GO–BSA interface. These results clarify how atomic-scale surface chemistry modulates biomolecular adsorption on carbon nanomaterials, offering design principles for tailoring GO surfaces for biomedical and nanotechnological applications. • Smaller graphene oxide sheets show stronger protein binding affinity • Optimal oxidation level (O/C ≈ 0.2) maximizes GO–protein adsorption • Force-field analysis links conformational strain to binding strength • Controlled OFG distribution lowers strain and enhances adsorption • Molecular docking reveals induced-fit stabilization on GO surfaces

Fields of Study & Subjects

Graphene and Nanomaterials Applications Polymer Surface Interaction Studies Adsorption and biosorption for pollutant removal

Publication details

Journal / source
Carbon
Publisher
Elsevier BV
Volume
254
Pages
121472–121472
Publication date
16 March 2026
Language
EN