Abstract
Structural defects in nanomaterials can alter their physical and chemical properties including magnetization, electronic and thermal conductivities, light absorption, and emission capabilities. Here, we investigated the potential impact of these defects on their biological effects through molecular dynamics simulations. By modeling the interaction between a graphene nanosheet and a widely used model protein, the chicken villin headpiece subdomain (HP35), we observed severe protein denaturation upon contact with defective graphene, while the protein remained intact on ideal graphene. The enhanced toxicity of defective graphene was due to the stronger attraction of the surface residues of HP35 from the defect edges (represented by carboxyl groups in our simulations) than from the ideal graphene. Upon binding to defective graphene, the contacting residues were restrained near the defective sites, which acted as "anchors" for the adsorbed protein. The "anchors" subsequently caused the protein to expose its aromatic and hydrophobic core residues to the graphene surface, via strong π-π stacking and hydrophobic interactions, thus leading to the unfolding of the protein. These findings not only highlight the importance of defects in nanomaterials' impact on biological systems, but also provide insights into fine-tuning the potential biological properties of nanomaterials through defect engineering.
Original language | English |
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Pages (from-to) | 19362-19369 |
Number of pages | 8 |
Journal | Nanoscale |
Volume | 11 |
Issue number | 41 |
DOIs | |
State | Published - Nov 7 2019 |
Externally published | Yes |
Funding
This work is supported by the National Natural Science Foundation of China (Grant No. 11574224 and 11874238), the Shandong Provincial Natural Science Foundation, China, under Grant No. ZR2018MA034, a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), and the Jiangsu Provincial Key Laboratory of Radiation Medicine and Protection. RZ acknowledges the support from IBM Blue Gene Science Program (W1258591, W1464125, and W1464164).
Funders | Funder number |
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IBM Blue Gene Science Program | W1464164, W1464125, W1258591 |
Jiangsu Provincial Key Laboratory of New Environmental Protection | |
National Natural Science Foundation of China | 11574224, 11874238 |
Natural Science Foundation of Shandong Province | ZR2018MA034 |
Priority Academic Program Development of Jiangsu Higher Education Institutions |