Computer Simulation of Single Molecule Diffusion David E. Pederson, Bryon S. Drown, Dr. Daniel Burden Wheaton College, Chemistry Department Wheaton, IL 60187 Abstract: Computers can simulate the diffusion of a single particle as it moves in solution. The system that the particle diffuses through contains a separating membrane, an alpha-hemolysin nanopore and .1 M KCl or NaCl solution. Oxford Nanopore Technologies proposed that the system can be used for an efficient genome sequencing technique. The forces of electrophoretic flow, electroosmotic flow and random diffusion determine the movement of the particle in solution. Our model suggests that decomposition of the system at the high potentials required to produce high capture rates inhibits actualization of the proposed genome sequencing technique. Preliminary results from investigation into complex situations that have been suggested to increase the capture rate confirm that genome sequencing is inhibited by decomposition of the system. Future research will continue to investigate particle motion in solution and transport dynamics promising systems and to help explain experimental results of transport dynamics. Computer Simulation of Single Molecule Diffusion ● ● ● ● ● Nucleotide is simulated as a charged particle Particle is released above alphahemolysin embedded in membrane Three forces determine particle motion Results of Particle Simulation Three Forces Electrophoretic Flow Electroosmotic Flow Random Diffusion Electrophoretic force is the force of the electric field on the charged particle. Electroosmotic flow is the force induced by solvated ions flowing through the pore. Random diffusion simulates the many random interactions that the particle experiences in solution. Particle experiences a random walk based on molecular forces Our results say that an extreme potential would have to be applied across the pore in order to attain capture rates acceptable for genome sequencing (>99%). The proposed system of alpha-hemolysin has a maximum capacity of approximately 1 V before decomposition.Our results state that about 8 V of potential would be required to increase the capture rates to >99% in favorable transport conditions. Preliminary testing using COMSOL finite element analysis maps suggest that the required potential for >99% transport would be even greater. Future investigation will investigate more complex, promising systems. The equation above constrains the magnitude of the random diffusion step size. Proposed Genome sequencing method attaches enzyme to pore to sequentially release nucleotides Time to Capture Results Alpha Hemolysin The time to capture results are more favorable for genome sequencing, suggesting that nucleotides that are captured are likely to be captured in order due to the fast transport from release to the hit point. We came to the conclusion that captured particles were most likely captured within the first 100 ns of release. We also determined that there is a local maximum in the average time that particles take to be captured at different applied potential. We hypothesize that as potential increases to 3.5 V more particles which diffused for a long time further away are drawn into pore. At potentials above 3.5 V, the particles are all drawn into the pore quickly without having the chance to diffuse far from the pore. Physical Properties include: ● Heptomeric structure ● 10 nanometer long tube ● 2.5 nanometer wide opening ● Large vestibule inside opening ● Beta-cyclodextrin constriction point Perspectival view of alpha- ● The figure above shows the direction of the combined electrophoretic and electroosmotic forces in the different regions. The image above shows the position of particles as they are allowed to diffuse for 3 ns. Surrounded by .1 M ionic solution hemolysin from release point COMSOL Finite Element Analysis Single Molecule Diffusion Simulation (SMDS) SMDS is a program that releases particles one at a time above a nanopore and simulates the the molecular forces that act on the particle, generating a random walk through the pore or out into solution. COMSOL Multiphysics is a program designed to solve difficult differential equations describing complex physics based systems. In our application, we solve for the electric field at points, or nodes, in the alphahemolysin, lipid and water system. COMSOL then generates a map of all the node locations and their corresponding electric voltage which can be fitted to our single molecule diffusion simulator to dictate electrophoretic flow. The advantage of COMSOL is that we can create large maps of complex geometries. FIgure above shows COMSOL mesh for basic pore geometry. Figure below shows a more complex, accurate geometry. Special Thanks NAMD Molecular Dynamics Simulator ● ● The figure above demonstrates a random walk. It shows a two dimensional projection of a particle's path above and into the simulated pore. Snapshots of the particle's position are taken every .25 nanoseconds. This image shows the cumulative density of particle position on a logarithmic binning scale as particles are allowed to diffuse around a custom electrophoretic flow map. The upper red spot shows the release point. The map is generated from molecular dynamics data. This summer, we experimented with NAMD to improve force calculation in the system. NAMD is a molecular dynamics simulator meaning it models all of the molecules in a system and all of their interactions with the rest of the system over time. Molecular dynamics simulations produce wealth of information about the forces present around and inside the pore. NAMD accurately models increased complexities in the system such as ion gradients which have been shown to increase the probability of analyte capture. Figures on the left show (above) alpha-hemolysin alone and (below) alpha-hemolysin embedded in a lipid bilayer surrounded with NaCl solution. ● ● The Alumni Association The National Science Foundation Wheaton College Chemistry Department of Wheaton College Bibliography 1. Branton, D.; Deamer, D. W.; Marziali, A.; Bayley, H.; Benner, S. A.; Butler, T.; Di Ventra, M.; Garaj, S.; Hibbs, A.; Huang, X.; Jovanovich, S. B.; Krstic, P. S.; Lindsay, S.; Ling, X. S.; Mastrangelo, C. H.; Meller, A.; Oliver, J. S.; Pershin, Y. V.; Ramsey, J. M.; Riehn, R.; Soni, G. V.; Tabard-Cossa, V.; Wanunu, M.; Wiggin, M.; Schloss, J. A. Nat. Biotech. 2008, 26, 1146-1153. 2. Aksimentiev, A.; Schulten, K. Biophys.J. 2005, 88, 3745-3761. 3. Aksimentiev, A.Nanoscale, 2010,2, 468-483. 4. (http://www.nanoporetech.com/technology/introduction-to-nanopore-sensing/introduction-to-nanopore-sensing) Molecular structure images were made with made with VMD. Graphs produced on Origin Pro. Mesh images were made using COMSOL. Particle path image and flow diagram were made using MATLAB graphing utilities.
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