4.6 Article

Developing a rational approach to designing recombinant proteins for peptide-directed nanoparticle synthesis

期刊

NANOSCALE ADVANCES
卷 4, 期 15, 页码 3161-3171

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/d2na00212d

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资金

  1. National Science Foundation [CHE-1945465, OCI-0725070, ACI-1238993, ACI-1548562]
  2. state of Illinois
  3. Arkansas High Performance Computing Center - National Science Foundation
  4. Arkansas Economic Development Commission

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This study investigates the formation of nanoparticles using a specific peptide and its variants in both isolated and fused states. The results show that the presence of a protein reduces the sensitivity of nanoparticles to the peptide sequence, allowing for the synthesis of nanoparticles with well-regulated properties.
The controlled formation of nanoparticles with optimum characteristics and functional aspects has proven successful via peptide-mediated nanoparticle synthesis. However, the effects of the peptide sequence and binding motif on surface features and physicochemical properties of nanoparticles are not well-understood. In this study, we investigate in a comparative manner how a specific peptide known as Pd4 and its two known variants may form nanoparticles both in an isolated state and when attached to a green fluorescent protein (GFPuv). More importantly, we introduce a novel computational approach to predict the trend of the size and activity of the peptide-directed nanoparticles by estimating the binding affinity of the peptide to a single ion. We used molecular dynamics (MD) simulations to explore the differential behavior of the isolated and GFP-fused peptides and their mutants. Our computed palladium (Pd) binding free energies match the typical nanoparticle sizes reported from transmission electron microscope pictures. Stille coupling and Suzuki-Miyaura reaction turnover frequencies (TOFs) also correspond with computationally predicted Pd binding affinities. The results show that while using Pd4 and its two known variants (A6 and A11) in isolation produces nanoparticles of varying sizes, fusing these peptides to the GFPuv protein produces nanoparticles of similar sizes and activity. In other words, GFPuv reduces the sensitivity of the nanoparticles to the peptide sequence. This study provides a computational framework for designing free and protein-attached peptides that helps in the synthesis of nanoparticles with well-regulated properties.

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