The ability to separate proteins is desirable for many fields of study, and nanoporous membranes may offer a method for rapid protein filtration at high throughput volume, provided there is an understanding of the protein dynamics involved. In this work, we use Brownian dynamics simulations to study the motion of coarse-grained proteins insulin and ubiquitin in an electrically biased membrane. In our model, the protein is subjected to various biases applied to the silicon membrane equipped with a nanopore of different radii. The time each protein takes to find a cylindrical nanopore embedded in a thin silicon membrane, attempt to translocate it (waiting time), and successfully translocate it in a single attempt (translocation time) is calculated. We observe insulin finding the nanopore and translocating it faster than the electrically neutral ubiquitin due to insulin’s slightly smaller size and net negative charge. While ubiquitin’s dynamics is also affected by the size of the pore, surprisingly, its translocation process is also noticeably changed by the membrane bias. By investigating the protein’s multipole moments, we demonstrate that this behavior is largely due to the protein’s dipole and quadrupole interactions with the membrane potential.
In this work, we theoretically study the interaction between a solid state membrane equipped with a nanopore and a tethered, negatively charged polymer chain subjected to a time-dependent applied electrolyte bias. In order to describe the movement of the chain in the biomolecule-membrane system immersed in an electrolyte solution, Brownian dynamics is used. We show that we can control the polymer's equilibrium position with various applied electrolyte biases: for a sufficiently positive bias, the chain extends inside the pore, and the removal of the bias causes the polymer to leave the pore. Corresponding to a driven process, we find that the time it takes for a biomolecular chain to enter and extend into a nanopore in a positive bias almost increases linearly with chain length while the amount of time it takes for a polymer chain to escape the nanopore is mainly governed by diffusion.
blockade currents indicate that the different current levels originate from variations in molecular size and trapping orientation. Furthermore, MBP with a chain of 10 aspartic acids (MBP 10D ), which is highly negatively charged, can be trapped at $250 milliseconds at 140 mV. When maltose is added and binds to MBP 10D , the three blockade current levels converge to two, a dominant and a minor level. These levels are attributed to a maltose-bound and an open conformation of MBP. Our single protein trapping method aids in studying protein geometry, as well as studying substrate-induced conformational changes of proteins. 1.
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