Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter September 27, 2020

Reliable Computer Simulation Methods for Electrostatic Biomolecular Models Based on the Poisson–Boltzmann Equation

  • Johannes Kraus ORCID logo EMAIL logo , Svetoslav Nakov and Sergey Repin

Abstract

The paper is concerned with the reliable numerical solution of a class of nonlinear interface problems governed by the Poisson–Boltzmann equation. Arising in electrostatic biomolecular models these problems typically contain measure-type source terms and their solution often exposes drastically different behaviour in different subdomains. The interface conditions reflect the requirement that the potential and its normal derivative must be continuous. In the first part of the paper, we discuss an appropriate weak formulation of the problem that guarantees existence and uniqueness of the generalized solution. In the context of the considered class of nonlinear equations, this question is not trivial and requires additional analysis, which is based on a special splitting of the problem into simpler subproblems whose weak solutions can be defined in standard Sobolev spaces. This splitting also suggests a rational numerical solution strategy and a way of deriving fully guaranteed error bounds. These bounds (error majorants) are derived for each subproblem separately and, finally, yield a fully computable majorant of the difference between the exact solution of the original problem and any energy-type approximation of it.

The efficiency of the suggested computational method is verified in a series of numerical tests related to real-life biophysical systems.

Funding source: Austrian Science Fund

Award Identifier / Grant number: W1250

Funding statement: The second author is grateful for the financial support received from the Doctorate College program Nano-Analytics of Cellular Systems (NanoCell) of the Austrian Science Fund (FWF) (grant number: W1250) and from the project LIT-JKU-2017-04-SEE-004 of the Linz Institute of Technology.

References

[1] R. Adams and J. Fournier, Sobolev Spaces, Pure Appl. Math. 140, Elsevier, Amsterdam, 2003. Search in Google Scholar

[2] D. Andelman, Chapter 12 – Electrostatic properties of membranes: The Poisson–Boltzmann theory, Structure and Dynamics of Membranes. Vol. 1, Handbook Biol. Phys., North-Holland, Amsterdam (1995), 603–642. 10.1016/S1383-8121(06)80005-9Search in Google Scholar

[3] D. Andelman, Introduction to electrostatics in soft and biological matter, Soft Condensed Matter Physics in Molecular and Cell Biology, Taylor & Francis, New York (2006), 97–122. 10.1201/9781420003338.ch6Search in Google Scholar

[4] D. Bashford, An object-oriented programming suite for electrostatic effects in biological molecules, Proceedings of the Scientific Computing in Object-Oriented Parallel Environments—ISCOPE ’97, Springer, London (1997), 233–240. 10.1007/3-540-63827-X_66Search in Google Scholar

[5] D. Bashford, Macroscopic electrostatic models for protonation states in proteins, Frontiers Biosci. 9 (2004), no. 2, 1082–1099. 10.2741/1187Search in Google Scholar

[6] P. Bénilan and H. Brezis, Nonlinear problems related to the Thomas–Fermi equation, J. Evol. Equ. 3 (2003), no. 4, 673–770. 10.1007/978-3-0348-7924-8_35Search in Google Scholar

[7] L. Boccardo and T. Gallouët, Non-linear elliptic and parabolic equations involving measure data, J. Funct. Anal. 87 (1989), 149–169. 10.1016/0022-1236(89)90005-0Search in Google Scholar

[8] L. Boccardo, T. Gallouët and L. Orsina, Existence and nonexistence of solutions for some nonlinear elliptic equations, J. Anal. Math. 73 (1997), 203–223. 10.1007/BF02788144Search in Google Scholar

[9] D. Braess, V. Pillwein and J. Schöberl, Equilibrated residual error estimates are p-robust, Comput. Methods Appl. Mech. Engrg. 198 (2009), no. 13–14, 1189–1197. 10.1016/j.cma.2008.12.010Search in Google Scholar

[10] D. Braess and J. Schöberl, Equilibrated residual error estimator for edge elements, Math. Comp. 77 (2008), no. 262, 651–672. 10.1090/S0025-5718-07-02080-7Search in Google Scholar

[11] H. Brezis, Nonlinear elliptic equations involving measures, Contributions to Nonlinear Partial Differential Equations (Madrid 1981), Res. Notes in Math. 89, Pitman, Boston (1983), 82–89. Search in Google Scholar

[12] H. Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations, Springer, New York, 2011. 10.1007/978-0-387-70914-7Search in Google Scholar

[13] H. Brezis, M. Marcus and A. C. Ponce, Nonlinear elliptic equations with measures revisited, Mathematical Aspects of Nonlinear Dispersive Equations, Ann. of Math. Stud. 163, Princeton University, Princeton (2007), 55–109. 10.1515/9781400827794.55Search in Google Scholar

[14] B. R. Brooks, C. L. Brooks III, A. D. Mackerell, L. Nilsson, R. J. Petrella, B. Roux, Y. Won, G. Archontis, C. Bartels, S. Boresch A. Caflisch, L. Caves, Q. Cui, A. R. Dinner, M. Feig, S. Fischer, J. Gao, M. Hodoscek, W. Im, K. Kuczera, T. Lazaridis, J. Ma, V. Ovchinnikov, E. Paci, R. W. Pastor, C. B. Post, J. Z. Pu, M. Schaefer, B. Tidor, R. M. Venable, H. L. Woodcock, X. Wu, W. Yang, D. M. York and M. Karplus, CHARMM: The biomolecular simulation program, J. Comput. Chem. 30 (2009), no. 10, 1545–1614. 10.1002/jcc.21287Search in Google Scholar PubMed PubMed Central

[15] J. Buse, Insulin analogues, Curr. Opin. Endocrinol. Diabetes 8 (2001), 95–100. 10.1097/00060793-200104000-00007Search in Google Scholar

[16] D. Chapman, A contribution to the theory of electrocapillarity, Phil. Mag. 25 (1913), 475–481. 10.1080/14786440408634187Search in Google Scholar

[17] L. Chen, M. J. Holst and J. Xu, Adaptive finite element modeling techniques for the Poisson–Boltzmann equation, Siam J. Numer. Anal. 45 (2007), no. 6, 2298–2320. 10.1137/060675514Search in Google Scholar

[18] M. Chen, B. Tu and B. Lu, Triangulated manifold meshing method preserving molecular surface topology, J. Mol. Graph. Model. 38 (2012), 411–418. 10.1016/j.jmgm.2012.09.006Search in Google Scholar PubMed

[19] I. Chern, J. Liu and W. Wang, Accurate evaluation of electrostatics for macromolecules in solution, Methods Appl. Anal. 10 (2003), 309–328. 10.4310/MAA.2003.v10.n2.a9Search in Google Scholar

[20] H. Childs, E. Brugger, B. Whitlock, J. Meredith, S. Ahern, D. Pugmire, K. Biagas, M. Miller, C. Harrison, G. H. Weber, H. Krishnan, T. Fogal, A. Sanderson, C. Garth, E. Wes Bethel, D. Camp, O. Rübel, M. Durant, J. M. Favre and P. Navrátil, VisIt: An end-user tool for visualizing and analyzing very large data, High Performance Visualization–Enabling Extreme-Scale Scientific Insight, CRC Press, New York (2012), 357–372. Search in Google Scholar

[21] P. Ciarlet, Linear and Nonlinear Functional Analysis with Applications, Society for Industrial and Applied Mathematics, Philadelphia, 2013. 10.1137/1.9781611972597Search in Google Scholar

[22] B. Dacorogna, Direct Methods in the Calculus of Variations, Springer, New York, 2008. 10.1142/p616Search in Google Scholar

[23] C. Dapogny, C. Dobrzynski and P. Frey, Three-dimensional adaptive domain remeshing, implicit domain meshing, and applications to free and moving boundary problems, J. Comput. Phys. 262 (2014), 358–378. 10.1016/j.jcp.2014.01.005Search in Google Scholar

[24] R. Dautray and J. L. Lions, Mathematical Analysis and Numerical Methods for Science and Technology. Volume 6, Springer, Berlin, 2000. Search in Google Scholar

[25] P. Debye and E. Hückel, Zur Theorie der Elektrolyte, Phys. Zeitschr. 24 (1923), 185–206. Search in Google Scholar

[26] S. Decherchi and W. Rocchia, A general and robust ray-casting-based algorithm for triangulating surfaces at the nanoscale, PLOS ONE 8 (2013), no. 4, 1–15. 10.1371/journal.pone.0059744Search in Google Scholar PubMed PubMed Central

[27] C. Dobrzynski, MMG3D: User Guide, Technical Report RT-0422, INRIA, 2012. Search in Google Scholar

[28] J. Droniou, T. Gallouët and R. Herbin, A finite volume scheme for a noncoercive elliptic equation with measure data, SIAM J. Numer. Anal. 41 (2003), no. 6, 1997–2031. 10.1137/S0036142902405205Search in Google Scholar

[29] I. Ekeland and R. Temam, Convex Analysis and Variational Problems, North-Holland, Amsterdam, 1976. Search in Google Scholar

[30] M. Fixman, The Poisson–Boltzmann equation and its application to polyelectrolytes, J. Chem. Phys. 70 (1979), no. 11, 4995–5005. 10.1063/1.437340Search in Google Scholar

[31] F. Fogolari, A. Brigo and H. Molinari, The Poisson–Boltzmann equation for biomolecular electrostatics: A tool for structural biology, J. Mol. Recognit. 15 (2002), 377–392. 10.1002/jmr.577Search in Google Scholar

[32] T. Gallouët and R. Herbin, Convergence of linear finite elements for diffusion equations with measure data, C. R. Math. Acad. Sci. Paris 338 (2004), no. 1, 81–84. 10.1016/j.crma.2003.11.024Search in Google Scholar

[33] M. Gilson, M. Davis, B. Luty and J. McCammon, Computation of electrostatic forces on solvated molecules using the Poisson–Boltzmann equation, J. Phys. Chem. 97 (1993), 3591–3600. 10.1021/j100116a025Search in Google Scholar

[34] G. Gouy, Constitution of the electric charge at the surface of an electrolyte, J. Phys. 9 (1910), 457–468. 10.1051/jphystap:019100090045700Search in Google Scholar

[35] F. Hecht, New development in FreeFem++, J. Numer. Math. 20 (2012), no. 3–4, 251–265. 10.1515/jnum-2012-0013Search in Google Scholar

[36] M. Holst, N. Baker and F. Wang, Adaptive multilevel finite element solution of the Poisson–Boltzmann equation I. Algorithms and examples, J. Comput. Chem. 21 (2000), no. 15, 1319–1342. 10.1002/1096-987X(20001130)21:15<1319::AID-JCC1>3.0.CO;2-8Search in Google Scholar

[37] M. Holst, J. McCammon, Z. Yu, Y. C. Zhou and Y. Zhu, Adaptive finite element modeling techniques for the Poisson–Boltzmann equation, Commun. Comput. Phys. 11 (2012), 179–214. 10.4208/cicp.081009.130611aSearch in Google Scholar

[38] N. Ji, T. Liu, J. Xu, L. Q. Shen and B. Lu, A finite element solution of lateral periodic Poisson–Boltzmann model for membrane channel proteins, Int. J. Molecular Sci. 19 (2018), 10.3390/ijms19030695. 10.3390/ijms19030695Search in Google Scholar

[39] B. Kawohl and M. Lucia, Best constants in some exponential Sobolev inequalities, Indiana Univ. Math. J. 57 (2008), no. 4, 1907–1928. 10.1512/iumj.2008.57.3307Search in Google Scholar

[40] J. Kirkwood, Theory of solutions of molecules containing widely separated charges with special applications to zwitterions, J. Chem. Phys. 7 (1934), 351–361. 10.1063/1.1749489Search in Google Scholar

[41] I. Klapper, R. Hagstrom, R. Fine, K. Sharp and B. Honig, Focusing of electric fields in the active site of Cu-Zn superoxide dismutase: Effects of ionic strength and amino-acid modification, Proteins 1 (1986), no. 1, 47–59. 10.1002/prot.340010109Search in Google Scholar

[42] J. Kraus, S. Nakov and S. Repin, Reliable numerical solution of a class of nonlinear elliptic problems generated by the Poisson–Boltzmann equation, Comput. Methods Appl. Math. 20 (2020), no. 2, 293–319. 10.1515/cmam-2018-0252Search in Google Scholar

[43] A. J. Kurdila and M. Zabarankin, Convex Functional Analysis, Birkhäuser, Basel, 2005. Search in Google Scholar

[44] G. Lamm, The Poisson–Boltzmann Equation, Rev. Comput. Chem. 19 (2003), 147–365. 10.1002/0471466638.ch4Search in Google Scholar

[45] G. Leioni, A First Course in Sobolev Spaces, American Mathematical Society, Providence, 2009. 10.1090/gsm/105Search in Google Scholar

[46] J. Li, S. Wijeratne, X. Qiu and C.-H. Kiang, DNA under force: Mechanics, electrostatics, and hydration, Nanomaterials 5 (2015), no. 1, 246–267. 10.3390/nano5010246Search in Google Scholar

[47] J. Lipfert, S. Doniach, R. Das and D. Herschlag, Understanding nucleic acid-ion interactions, Ann. Rev. Biochem. 83 (2014), 813–841. 10.1146/annurev-biochem-060409-092720Search in Google Scholar

[48] T. Liu, S. Bai, B. Tu, M. Chen and B. Lu, Membrane-channel protein system mesh construction for finite element simulations, Comput. Math. Biophys. 3 (2005), no. 1, 128–139. 10.1515/mlbmb-2015-0008Search in Google Scholar

[49] T. Liu, M. Chen and B. Lu, Efficient and qualified mesh generation for Gaussian molecular surface using adaptive partition and piecewise polynomial approximation, SIAM J. Sci. Comput. 40 (2018), 507–527. 10.1137/16M1099704Search in Google Scholar

[50] B. Lu, Y. Zhou, M. Holst and J. McCammon, Recent progress in numerical methods for the Poisson–Boltzmann equation in biophysical applications, Commun. Comput. Phys. 3 (2008), no. 5, 973–1009. Search in Google Scholar

[51] J. Madura, J. Briggs, R. Wade, M. Davis, B. Luty, A. Ilin, J. Antosiewicz, M. Gilson, B. Bagheri, L. Scott and J. McCammon, Electrostatics and diffusion of molecules in solution: Simulations with the University of Houston Brownian Dynamics program, Comput. Phys. Commun. 91 (1995), no. 1, 57–95. 10.1016/0010-4655(95)00043-FSearch in Google Scholar

[52] S. Nakov, The Poisson–Boltzmann equation: Analysis, a posteriori error estimates and applications, PhD thesis, Johannes Kepler University, 2019. Search in Google Scholar

[53] P. Neittaanmäki and S. Repin, Reliable Methods for Computer Simulation: Error Control and Posteriori Estimates, Elsevier, Amsterdam, 2004. Search in Google Scholar

[54] A. Nicholls, K. Sharp and B. Honig, Protein folding and association: Insights from the interfacial and thermodynamic properties of hydrocarbons, Proteins 11 (1991), no. 4, 281–296. 10.1002/prot.340110407Search in Google Scholar

[55] C. Niedermeier and K. Schulten, Molecular dynamics simulations in heterogeneous dielectrica and Debye–Huckel media-application to the protein bovine pancreatic trypsin inhibitor, Molecular Simul. 8 (1992), 361–387. 10.1080/08927029208022491Search in Google Scholar

[56] H. Oberoi and N. Allewell, Multigrid solution of the nonlinear Poisson–Boltzmann equation and calculation of titration curves, Biophys. J. 65 (1993), 48–55. 10.1016/S0006-3495(93)81032-4Search in Google Scholar

[57] A. Prignet, Remarks on existence and uniqueness of solutions of elliptic problems with right-hand side measures, Rend. Mat. Appl. (7) 15 (1995), no. 3, 321–337. Search in Google Scholar

[58] S. Repin, A posteriori error estimation for variational problems with uniformly convex functionals, Math. Comp. 69 (2000), 481–500. 10.1090/S0025-5718-99-01190-4Search in Google Scholar

[59] S. Repin, Two-sided estimates of deviation from exact solutions of uniformly elliptic equations, Proceedings of the St. Petersburg Mathematical Society. Vol. IX, Amer. Math. Soc. Transl. Ser. 2 209, American Mathematical Society, Providence (2003), 143–171. 10.1090/trans2/209/06Search in Google Scholar

[60] S. Repin, A Posteriori Estimates for Partial Differential Equations, Radon Ser. Comput. Appl. Math. 4, Walter de Gruyter, Berlin, 2008. 10.1515/9783110203042Search in Google Scholar

[61] N. Rogers and M. Sternberg, Electrostatic interactions in globular proteins: Different dielectric models applied to the packing of α-helices, J. Molecular Biol. 174 (1984), no. 3, 527–542. 10.1016/0022-2836(84)90334-6Search in Google Scholar

[62] I. Sakalli, J. Schöberl and E. W. Knapp, mFES: A robust molecular finite element solver for electrostatic energy computations, J. Chem. Theory Comput. 10 (2014), 5095–5112. 10.1021/ct5005092Search in Google Scholar PubMed

[63] K. Sharp and B. Honig, Calculating total electrostatic energies with the nonlinear Poisson–Boltzmann equation, J. Phys. Chem. 94 (1990), 7684–7692. 10.1021/j100382a068Search in Google Scholar

[64] H. Si, TetGen, a Delaunay-based quality tetrahedral mesh generator, ACM Trans. Math. Software 41 (2015), Article ID 11. 10.1145/2629697Search in Google Scholar

[65] E. Sobakinskaya, M. Schmidt am Busch and T. Renger, Theory of FRET “spectroscopic ruler” for short distances: Application to polyproline, J. Phys. Chem. B 112 (2018), 54–67. 10.1021/acs.jpcb.7b09535Search in Google Scholar

[66] Z.-J. Tan and S.-J. Chen, Predicting electrostatic forces in RNA folding, Methods Enzymol. 469 (2009), 465–487. 10.1016/S0076-6879(09)69022-4Search in Google Scholar

[67] N. Trudinger, On imbeddings into Orlicz spaces and some applications, J. Math. Mech. 17 (1967), 473–483. 10.1512/iumj.1968.17.17028Search in Google Scholar

[68] Z. Wan, Enhancing the activity of insulin at the receptor interface: Crystal structure and photo-cross-linking of A8 analogues, Biochemistry 43 (2004), 16119–16133. 10.1021/bi048223fSearch in Google Scholar

[69] Z. Zhou, P. Payne, M. Vasquez, N. Kuhn and M. Levitt, Finite-difference solution of the Poisson–Boltzmann equation: Complete elimination of self-energy, J. Comput. Chem. 17 (1996), no. 11, 1344–1351. 10.1002/(SICI)1096-987X(199608)17:11<1344::AID-JCC7>3.0.CO;2-MSearch in Google Scholar

[70] Blender Online Community, Blender – A 3D modelling and rendering package, Blender Foundation, Blender Institute, Amsterdam, 2017. Search in Google Scholar

Received: 2020-02-23
Revised: 2020-08-31
Accepted: 2020-09-09
Published Online: 2020-09-27
Published in Print: 2020-10-01

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 18.4.2024 from https://www.degruyter.com/document/doi/10.1515/cmam-2020-0022/pdf
Scroll to top button