Abstract
Application of ab initio molecular dynamics to study free energy surfaces (FES) is still not commonly performed because of the extensive sampling required. Indeed, it generally necessitates computationally costly simulations of more than several hundreds of picoseconds. To achieve such studies, efficient density functional theory (DFT) formalisms, based on various levels of approximate computational schemes, have been developed, and provide a good alternative to commonly used DFT implementations. We report benchmark results on the conformational change FES of alanine dipeptide obtained with auxiliary density functional theory (ADFT) and second- and third-order density functional tight-binding (DFTB) methods coupled to metadynamics simulations. The influence of an explicit water solvent is also studied with DFTB, which was made possible by its lower computational cost compared to ADFT. Simulations lengths of 2.1 and 15 ns were achieved with ADFT and DFTB, respectively, in a reasonably short computational time. ADFT leads to a free energy difference (ΔF eq-ax) of ∼ −3 kcal mol−1 between the two low energy conformers, C7eq and C7ax, which is lower by only 1.5 kcal mol−1 than the ΔF eq-ax computed with DFTB. The two minima in ADFT FES are separated by an energy barrier of 9 kcal mol−1, which is higher than the DFTB barriers by 2–4 kcal mol−1. Despite these small quantitative differences, the DFTB method reveals FES shapes, confor-mation geometries and energies of the stationary points in good agreement with these found with ADFT. This validates the promising applicability of DFTB to FES of reactions occurring in larger-size systems placed in complex environments.
Similar content being viewed by others
References
Frenkel D, Smit B (2002) Understanding molecular simulation: from algorithms to applications. Elsevier, Orlando
Chipot C, Pohorille A (2007) Free energy calculations-theory and applications in chemistry and biology. Springer, Berlin
Tuckerman ME, Breu F, Guggenbichler S, Wollmann J (2010) Statistical mechanics: theory and molecular simulation. Oxford University Press, New York
Dellago C, Bolhuis PG (2009) Transition path sampling and other advanced simulation techniques for rare events. Adv Polym Sci 221:167–233
Torrie GM, Valleau JP (1974) Monte Carlo free energy estimates using non-boltzmann sampling: application to the sub-critical Lennard-Jones fluid. Chem Phys Lett 28:578–581
Bartels C, Karplus M (1997) Multidimensional adaptive umbrella sampling: applications to main chain and side chain peptide conformations. J Comput Chem 18:1450–1462
Kumar S, Rosenberg JM, Bouzida D et al (1992) The weighted histogram analysis method for free-energy calculations on biomolecules. I. The method. J Comput Chem 13:1011–1021
Zhang Y, Liu H, Yang W (2000) Free energy calculation on enzyme reactions with an efficient iterative procedure to determine minimum energy paths on a combined ab initio QM/MM potential energy surface. J Chem Phys 112:3483–3492
Cui Q (2002) Combining implicit solvation models with hybrid quantum mechanical/molecular mechanical methods: a critical test with glycine. J Chem Phys 117:4720–4728
Hu H, Lu Z, Yang W (2007) QM/MM minimum free energy path: methodology and application to triosephosphate isomerase. J Chem Theory Comput 3:390–406
Leung K, Rempe SB (2005) Ab initio molecular dynamics study of glycine intramolecular proton transfer in water. J Chem Phys 122:184506
Brüssel M, di Dio PJ, Muñiz K, Kirchner B (2011) Comparison of free energy surfaces calculations from ab initio molecular dynamic simulations at the example of two transition metal catalyzed reactions. Int J Mol Sci 12:1389–1409
Ivchenko O, Bachert P, Imhof P (2014) Umbrella sampling of proton transfer in a creatine-water system. Chem Phys Lett 600:51–55
Darve E, Pohorille A (2001) Calculating free energies using average force. J Chem Phys 115:9169–9183
Bolhuis PG, Dellago C, Chandler D (2000) Reaction coordinates of biomolecular isomerization. Proc Natl Acad Sci USA 97:5877–5882
Bolhuis PG, Chandler D, Dellago C, Geissler PL (2002) Transition path sampling: throwing ropes over rough mountain passes, in the dark. Annu Rev Phys Chem 53:291–318
Laio A, Parrinello M (2002) Escaping free-energy minima. Proc Natl Acad Sci USA 99:12562–12566
Laio A, Rodriguez-Fortea A, Gervasio FL et al (2005) Assessing the accuracy of metadynamics. J Phys Chem B 109:6714–6721
Hamelberg D, Mongan J, McCammon JA (2004) Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules. J Chem Phys 120:11919–11929
Liu P, Kim B, Friesner RA, Berne BJ (2005) Replica exchange with solute tempering: a method for sampling biological systems in explicit water. Proc Natl Acad Sci USA 102:13749–13754
Maragliano L, Fischer A, Vanden-Eijnden E, Ciccotti G (2006) String method in collective variables: minimum free energy paths and isocommittor surfaces. J Chem Phys 125:24106
Gil-Ley A, Bussi G (2015) Enhanced conformational sampling using replica exchange with collective-variable tempering. J Chem Theory Comput 11:1077–1085
Bussi G, Gervasio FL, Laio A, Parrinello M (2006) Free-energy landscape for β hairpin folding from combined parallel tempering and metadynamics. J Am Chem Soc 128:13435–13441
Barducci A, Bussi G, Parrinello M (2008) Well-tempered metadynamics: a smoothly converging and tunable free-energy method. Phys Rev Lett 100:20603
Bonomi M, Parrinello M (2010) Enhanced sampling in the well-tempered ensemble. Phys Rev Lett 104:190601
Piana S, Laio A (2007) A bias-exchange approach to protein folding. J Phys Chem B 111:4553–4559
Laio A, Gervasio FL (2008) Metadynamics: a method to simulate rare events and reconstruct the free energy in biophysics, chemistry and material science. Rep Prog Phys 71:126601
Barducci A, Bonomi M, Parrinello M (2011) Metadynamics. Wiley Interdiscip Rev Comput Mol Sci 1:826–843
Iannuzzi M, Laio A, Parrinello M (2003) Efficient exploration of reactive potential energy surfaces using Car-Parrinello molecular dynamics. Phys Rev Lett 90:238302
Hassanali AA, Cuny J, Verdolino V, Parrinello M (2014) Aqueous solutions: state of the art in ab initio molecular dynamics. Philos Transact A Math Phys Eng Sci 372:20120482
Park JM, Laio A, Iannuzzi M, Parrinello M (2006) Dissociation mechanism of acetic acid in water. J Am Chem Soc 128:11318–11319
Gunaydin H, Houk KN (2008) Molecular dynamics prediction of the mechanism of ester hydrolysis in water. J Am Chem Soc 130:15232–15233
Köster AM, Reveles JU, Del Campo JM (2004) Calculation of exchange-correlation potentials with auxiliary function densities. J Chem Phys 121:3417–3424
Geudtner G, Calaminici P, Carmona-Espíndola J et al (2012) deMon2k. Wiley Interdiscip Rev Comput Mol Sci 2:548–555
Porezag D, Frauenheim T, Köhler T et al (1995) Construction of tight-binding-like potentials on the basis of density-functional theory: application to carbon. Phys Rev B 51:12947–12957
Seifert G, Porezag D, Frauenheim T (1996) Calculations of molecules, clusters, and solids with a simplified LCAO-DFT-LDA scheme. Int J Quantum Chem 58:185–192
Tribello GA, Bonomi M, Branduardi D et al (2014) PLUMED 2: new feathers for an old bird. Comput Phys Commun 185:604–613
Heine T, Rapacioli M, Patchkovskii S, Frenzel J, Koster A, Calaminici P, Duarte H A, Escalante S, Flores-Moreno R, Goursot A, Reveles JU, Salahub DR, Vela A (2009) The deMon User’s Guide, Version deMon-Nano Experiment 2009. http://demon-nano.ups-tlse.fr/pages/pdf_doc/deMon-UserGuide.pdf
Krishnamurty S, Stefanov M, Mineva T et al (2008) Lipid thermodynamics: melting is molecular. ChemPhysChem 9:2321–2324
Mineva T, Krishnamurty S, Salahub DR, Goursot A (2013) Temperature dependence of the molecular conformations of dilauroyl phosphatidylcholine: a density functional study. Int J Quantum Chem 113:631–636
Mineva T, Gaveau P, Galarneau A et al (2011) 14N: a sensitive NMR probe for the study of surfactant-oxide interfaces. J Phys Chem C 115:19293–19302
Mineva T, Tsoneva Y, Kevorkyants R, Goursot A (2013) 13 C NMR chemical shift calculations of charged surfactants in water—a combined density functional theory (DFT) and molecular dynamics (MD) methodological study. Can J Chem 91:529–537
Goursot A, Mineva T, Vásquez-Pérez JM et al (2013) Contribution of high-energy conformations to NMR chemical shifts, a DFT-BOMD study. Phys Chem Chem Phys 15:860–867
Tsoneva Y, Tadjer A, Mineva T (2016) NMR characterization of dilauroyl phosphatidylcholine in adsorbed monolayers at fluid interfaces studied by multiscale computations. Int J Quantum Chem 116:1419–1426
Oliveira LFL, Cuny J, Morinière M et al (2015) Phase changes of the water hexamer and octamer in the gas phase and adsorbed on polycyclic aromatic hydrocarbons. Phys Chem Chem Phys 17:17079–17089
Rapacioli M, Simon A, Marshall CCM et al (2015) Cationic methylene–pyrene isomers and isomerization pathways: finite temperature theoretical studies. J Phys Chem A 119:12845–12854
Elstner M, Porezag D, Jungnickel G et al (1998) Self-consistent-charge density-functional tight-binding method for simulations of complex materials properties. Phys Rev B 58:7260–7268
Frauenheim T, Seifert G, Elsterner M et al (2000) A self-consistent charge density-functional based tight-binding method for predictive materials simulations in physics, chemistry and biology. Phys Status Solidi 217:41–62
Frauenheim T, Seifert G, Elstner M et al (2002) Atomistic simulations of complex materials: ground-state and excited-state properties. J Phys Condens Matter 14:3015–3047
Oliveira AF, Seifert G, Heine T, Duarte HA (2009) Density-functional based tight-binding: an approximate DFT method. J Braz Chem Soc 20:1193–1205
Seifert G, Joswig J-O (2012) Density-functional tight binding—an approximate density-functional theory method. Wiley Interdiscip Rev Comput Mol Sci 2:456–465
The DFTB website. http://www.dftb.org/parameters/download
Gaus M, Cui Q, Elstner M (2011) DFTB3: extension of the self-consistent-charge density-functional tight-binding method (SCC-DFTB). J Chem Theory Comput 7:931–948
Gaus M, Goez A, Elstner M (2013) Parametrization and benchmark of DFTB3 for organic molecules. J Chem Theory Comput 9:338–354
Riccardi D, König P, Guo H, Cui Q (2008) Proton transfer in carbonic anhydrase is controlled by electrostatics rather than the orientation of the acceptor. Biochemistry 47:2369–2378
Yang Y, Yu H, Cui Q (2008) Extensive conformational transitions are required to turn on ATP hydrolysis in myosin. J Mol Biol 381:1407–1420
Yang Y, Cui Q (2009) Does water relay play an important role in phosphoryl transfer reactions? Insights from theoretical study of a model reaction in water and tert-butanol. J Phys Chem B 113:4930–4939
Dunlap BI, Connolly JWD, Sabin JR (1979) On first-row diatomic molecules and local density models. J Chem Phys 71:4993–4999
Godbout N, Salahub DR, Andzelm J, Wimmer E (1992) Optimization of Gaussian-type basis sets for local spin density functional calculations. Part I. Boron through neon, optimization technique and validation. Can J Chem 70:560–571
Nosé S (1984) A unified formulation of the constant temperature molecular dynamics methods. J Chem Phys 81:511
Hoover WG (1985) Canonical dynamics: equilibrium phase-space distributions. Phys Rev A 31:1695–1697
Martyna GJ, Klein ML, Tuckerman M (1992) Nose–hoover chains: the canonical ensemble via continuous dynamics. J Chem Phys 97:2635–2643
Rossky PJ, Karplus M (1979) Solvation. A molecular dynamics study of a dipeptide in water. J Am Chem Soc 101:1913–1937
Strodel B, Wales DJ (2008) Free energy surfaces from an extended harmonic superposition approach and kinetics for alanine dipeptide. Chem Phys Lett 466:105–115
Bonomi M, Branduardi D, Bussi G et al (2009) PLUMED: a portable plugin for free-energy calculations with molecular dynamics. Comput Phys Commun 180:1961–1972
Branduardi D, Gervasio FL, Parrinello M (2007) From A to B in free energy space. J Chem Phys 126:54103
Valsson O, Parrinello M (2014) Variational approach to enhanced sampling and free energy calculations. Phys Rev Lett 113:090601
MacKerell AD, Bashford D, Bellott M et al (1998) All-atom empirical potential for molecular modeling and dynamics studies of proteins. J Phys Chem B 102:3586–3616
Apostolakis J, Ferrara P, Caflisch A (1999) Calculation of conformational transitions and barriers in solvated systems: Application to the alanine dipeptide in water. J Chem Phys 110:2099
Doshi U, Hamelberg D (2012) Improved statistical sampling and accuracy with accelerated molecular dynamics on rotatable torsions. J Chem Theory Comput 8:4004–4012
Maupin CM, Aradi B, Voth GA (2010) The self-consistent charge density functional tight binding method applied to liquid water and the hydrated excess proton: benchmark simulations. J Phys Chem B 114:6922–6931
Acknowledgements
The authors acknowledge the supercomputing facility of CALMIP for generous allocation of computer resources (projects P1320) and HPC resources from GENCI (Grant x2016087369). We also thank the PLUMED developers for their help and advice in plugging PLUMED 2 into deMon2k and deMonNano.
Author information
Authors and Affiliations
Corresponding author
Additional information
This paper belongs to Topical Collection Festschrift in Honor of Henry Chermette
Electronic supplementary material
Below is the link to the electronic supplementary material.
ESM 1
(DOCX 1019 kb)
Rights and permissions
About this article
Cite this article
Cuny, J., Korchagina, K., Menakbi, C. et al. Metadynamics combined with auxiliary density functional and density functional tight-binding methods: alanine dipeptide as a case study. J Mol Model 23, 72 (2017). https://doi.org/10.1007/s00894-017-3265-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00894-017-3265-4