| Autor: |
Wei X; Biomedical Engineering Program, University of South Carolina, Columbia, South Carolina 29208, United States.; Department of Chemical Engineering, University of South Carolina, Columbia, South Carolina 29208, United States., Penkauskas T; Biophysical and Biomedical Measurement Group, Microsystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.; School of Engineering, Brown University, Providence, Rhode Island 02912, United States., Reiner JE; Department of Physics, Virginia Commonwealth University, Richmond, Virginia 23284, United States., Kennard C; Biomedical Engineering Program, University of South Carolina, Columbia, South Carolina 29208, United States., Uline MJ; Biomedical Engineering Program, University of South Carolina, Columbia, South Carolina 29208, United States.; Department of Chemical Engineering, University of South Carolina, Columbia, South Carolina 29208, United States., Wang Q; Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States., Li S; School of Data Science, University of Virginia, Charlottesville, Virginia 22903, United States., Aksimentiev A; Department of Physics and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States., Robertson JWF; Biophysical and Biomedical Measurement Group, Microsystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States., Liu C; Biomedical Engineering Program, University of South Carolina, Columbia, South Carolina 29208, United States.; Department of Chemical Engineering, University of South Carolina, Columbia, South Carolina 29208, United States. |
| Abstrakt: |
Biotechnological innovations have vastly improved the capacity to perform large-scale protein studies, while the methods we have for identifying and quantifying individual proteins are still inadequate to perform protein sequencing at the single-molecule level. Nanopore-inspired systems devoted to understanding how single molecules behave have been extensively developed for applications in genome sequencing. These nanopore systems are emerging as prominent tools for protein identification, detection, and analysis, suggesting realistic prospects for novel protein sequencing. This review summarizes recent advances in biological nanopore sensors toward protein sequencing, from the identification of individual amino acids to the controlled translocation of peptides and proteins, with attention focused on device and algorithm development and the delineation of molecular mechanisms with the aid of simulations. Specifically, the review aims to offer recommendations for the advancement of nanopore-based protein sequencing from an engineering perspective, highlighting the need for collaborative efforts across multiple disciplines. These efforts should include chemical conjugation, protein engineering, molecular simulation, machine-learning-assisted identification, and electronic device fabrication to enable practical implementation in real-world scenarios. |
