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M. P. Allen and D. J. Tildesley.
Computer Simulation of Liquids.
Oxford University Press, New York, 1987.

A. Altis, P. H. Nguyen, R. Hegger, and G. Stock.
Dihedral angle principal component analysis of molecular dynamics simulations.
J. Chem. Phys., 126(24):244111, 2007.

P. H. Axelsen and D. Li.
Improved convergence in dual-topology free energy calculations through use of harmonic restraints.
J. Comput. Chem., 19:1278-1283, 1998.

A. Barducci, G. Bussi, and M. Parrinello.
Well-tempered metadynamics: A smoothly converging and tunable free-energy method.
Phys. Rev. Lett., 100:020603, 2008.

C. H. Bennett.
Efficient estimation of free energy differences with monte carlo data.
J. Comp. Phys., 22:245-268, 1976.

F. C. Bernstein, T. F. Koetzle, G. J. B. Williams, J. E. F. Meyer, M. D. Brice, J. R. Rodgers, O. Kennard, T. Shimanouchi, and M. Tasumi.
The protein data bank: A computer-based archival file for macromolecular structures.
J. Mol. Biol., 112:535-542, 1977.

T. C. Beutler, A. E. Mark, R. C. van Schaik, P. R. Gerber, and W. F. van Gunsteren.
Avoiding singularities and numerical instabilities in free energy calculations based on molecular simulations.
Chem. Phys. Lett., 222:529-539, 1994.

D. L. Beveridge and F. M. DiCapua.
Free energy via molecular simulation: Applications to chemical and biomolecular systems.
Annu. Rev. Biophys. Biophys., 18:431-492, 1989.

A. Bondi.
van der Waals volumes and radii.
J. Phys. Chem., 68:441-451, 1964.

S. Boresch and M. Karplus.
The role of bonded terms in free energy simulations: I. theoretical analysis.
J. Phys. Chem. A, 103:103-118, 1999.

D. Branduardi, F. L. Gervasio, and M. Parrinello.
From a to b in free energy space.
J Chem Phys, 126(5):054103, 2007.

B. R. Brooks, R. E. Bruccoleri, B. D. Olafson, D. J. States, S. Swaminathan, and M. Karplus.
CHARMM: a program for macromolecular energy, minimization, and dynamics calculations.
J. Comp. Chem., 4(2):187-217, 1983.

A. T. Brünger.
X-PLOR, Version 3.1, A System for X-ray Crystallography and NMR.
The Howard Hughes Medical Institute and Department of Molecular Biophysics and Biochemistry, Yale University, 1992.

G. Bussi, A. Laio, and M. Parrinello.
Equilibrium free energies from nonequilibrium metadynamics.
Phys. Rev. Lett., 96(9):090601, 2006.

A. Carter, E, G. Ciccotti, J. T. Hynes, and R. Kapral.
Constrained reaction coordinate dynamics for the simulation of rare events.
Chem. Phys. Lett., 156:472-477, 1989.

C. Chipot and D. A. Pearlman.
Free energy calculations. the long and winding gilded road.
Mol. Sim., 28:1-12, 2002.

C. Chipot and A. Pohorille, editors.
Free energy calculations. Theory and applications in chemistry and biology.
Springer Verlag, 2007.

G. Ciccotti, R. Kapral, and E. Vanden-Eijnden.
Blue moon sampling, vectorial reaction coordinates, and unbiased constrained dynamics.
ChemPhysChem, 6(9):1809-1814, 2005.

J. Comer, J. Phillips, K. Schulten, and C. Chipot.
Multiple-walker strategies for free-energy calculations in namd: Shared adaptive biasing force and walker selection rules.
J. Chem. Theor. Comput., 10:5276-5285, 2014.

E. A. Coutsias, C. Seok, and K. A. Dill.
Using quaternions to calculate RMSD.
J. Comput. Chem., 25(15):1849-1857, 2004.

E. Darve, D. Rodríguez-Gómez, and A. Pohorille.
Adaptive biasing force method for scalar and vector free energy calculations.
J. Chem. Phys., 128(14):144120, 2008.

W. K. den Otter.
Thermodynamic integration of the free energy along a reaction coordinate in cartesian coordinates.
J. Chem. Phys., 112:7283-7292, 2000.

Y. Deng and B. Roux.
Computations of standard binding free energies with molecular dynamics simulations.
J. Phys. Chem. B, 113(8):2234-2246, 2009.

G. Fiorin, M. L. Klein, and J. Hénin.
Using collective variables to drive molecular dynamics simulations.
Mol. Phys., 111(22-23):3345-3362, 2013.

D. Frenkel and B. Smit.
Understanding Molecular Simulation From Algorithms to Applications.
Academic Press, California, 2002.

H. Fu, X. Shao, C. Chipot, and W. Cai.
Extended adaptive biasing force algorithm. an on-the-fly implementation for accurate free-energy calculations.
J. Chem. Theory Comput., 2016.

J. Gao, K. Kuczera, B. Tidor, and M. Karplus.
Hidden thermodynamics of mutant proteins: A molecular dynamics analysis.
Science, 244:1069-1072, 1989.

M. K. Gilson, J. A. Given, B. L. Bush, and J. A. McCammon.
The statistical-thermodynamic basis for computation of binding affinities: A critical review.
Biophys. J., 72:1047-1069, 1997.

N. M. Glykos.
Carma: a molecular dynamics analysis program.
J. Comput. Chem., 27(14):1765-1768, 2006.

H. Grubmüller.
Predicting slow structural transitions in macromolecular systems: Conformational flooding.
Phys. Rev. E, 52(3):2893-2906, Sep 1995.

D. Hamelberg, C. de Oliveira, and J. McCammon.
Sampling of slow diffusive conformational transitions with accelerated molecular dynamics.
J. Chem. Phys., 127:155102, 2007.

D. Hamelberg, J. Mongan, and J. McCammon.
Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules.
J. Chem. Phys., 120(24):11919-11929, 2004.

E. Harder, V. M. Anisimov, I. V. Vorobyov, P. E. M. Lopes, S. Y. Noskov, A. D. MacKerell, and B. Roux.
Atomic level anisotropy in the electrostatic modeling of lone pairs for a polarizable force field based on the classical drude oscillator.
J. Chem. Theor. Comp., 2(6):1587-1597, 2006.

D. J. Hardy, Z. Wu, J. C. Phillips, J. E. Stone, R. D. Skeel, and K. Schulten.
Multilevel summation method for electrostatic force evaluation.
J. Chem. Theor. Comp., 11:766-779, 2015.

G. D. Hawkins, C. J. Cramer, and D. G. Truhlar.
Parametrized models of aqueous free energies of solvation based on pairwise descreening of solute atomic charges from a dielectric medium.
J. Phys. Chem., 100:19824-19839, 1996.

J. Hénin and C. Chipot.
Overcoming free energy barriers using unconstrained molecular dynamics simulations.
J. Chem. Phys., 121:2904-2914, 2004.

J. Hénin, G. Fiorin, C. Chipot, and M. L. Klein.
Exploring multidimensional free energy landscapes using time-dependent biases on collective variables.
J. Chem. Theory Comput., 6(1):35-47, 2010.

T. Huber, A. E. Torda, and W. van Gunsteren.
Local elevation - A method for improving the searching properties of molecular-dynamics simulation.
Journal of Computer-Aided Molecular Design, 8(6):695-708, DEC 1994.

M. Iannuzzi, A. Laio, and M. Parrinello.
Efficient exploration of reactive potential energy surfaces using car-parrinello molecular dynamics.
Phys. Rev. Lett., 90(23):238302, 2003.

W. Jiang, D. Hardy, J. Phillips, A. MacKerell, K. Schulten, and B. Roux.
High-performance scalable molecular dynamics simulations of a polarizable force field based on classical Drude oscillators in NAMD.
J. Phys. Chem. Lett., 2:87-92, 2011.

J. Kastner and W. Thiel.
Bridging the gap between thermodynamic integration and umbrella sampling provides a novel analysis method: ``umbrella integration''.
J. Chem. Phys., 123(14):144104, 2005.

P. M. King.
Free energy via molecular simulation: A primer.
In W. F. Van Gunsteren, P. K. Weiner, and A. J. Wilkinson, editors, Computer simulation of biomolecular systems: Theoretical and experimental applications, volume 2, pages 267-314. ESCOM, Leiden, 1993.

J. G. Kirkwood.
Statistical mechanics of fluid mixtures.
J. Chem. Phys., 3:300-313, 1935.

P. A. Kollman.
Free energy calculations: Applications to chemical and biochemical phenomena.
Chem. Rev., 93:2395-2417, 1993.

E. A. Koopman and C. P. Lowe.
Advantages of a Lowe-Andersen thermostat in molecular dynamics simulations.
J. Chem. Phys., 124:204103, 2006.

A. Laio and M. Parrinello.
Escaping free-energy minima.
Proc. Natl. Acad. Sci. USA, 99(20):12562-12566, 2002.

G. Lamoureux, E. Harder, I. V. Vorobyov, B. Roux, and A. D. MacKerell.
A polarizable model of water for molecular dynamics simulations of biomolecules.
Chem. Phys. Lett., 418(1-3):245-249, 2006.

G. Lamoureux and B. Roux.
Modeling induced polarization with classical Drude oscillators: Theory and molecular dynamics simulation algorithm.
J. Chem. Phys., 119(6):3025-3039, 2003.

A. Lesage, T. Lelièvre, G. Stoltz, and J. Hénin.
Smoothed biasing forces yield unbiased free energies with the extended-system adaptive biasing force method.
J. Phys. Chem. B.

N. Lu, D. A. Kofke, and T. B. Woolf.
Improving the efficiency and reliability of free energy perturbation calculations using overlap sampling methods.
J. Comput. Chem., 25:28-39, 2004.

Z. M., T. P. Straatsma, and M. J. A.
Separation-shifted scaling, a new scaling method for Lennard-Jones interactions in thermodynamic integration.
J. Chem. Phys., 100:9025-9031, 1994.

A. E. Mark.
Free energy perturbation calculations.
In P. v. R. Schleyer, N. L. Allinger, T. Clark, J. Gasteiger, P. A. Kollman, H. F. Schaefer III, and P. R. Schreiner, editors, Encyclopedia of computational chemistry, volume 2, pages 1070-1083. Wiley and Sons, Chichester, 1998.

S. J. Marrink, A. H. de Vries, and A. E. Mark.
Coarse grained model for semiquantitative lipid simulations.
J. Phys. Chem. B, 108:750-760, 2004.

S. J. Marrink, H. J. Risselada, S. Yefimov, D. P. Tieleman, and A. H. de Vries.
The martini forcefield: coarse grained model for biomolecular simulations.
J. Phys. Chem. B, 111:7812-7824, 2007.

J. A. McCammon and S. C. Harvey.
Dynamics of Proteins and Nucleic Acids.
Cambridge University Press, Cambridge, 1987.

K. Minoukadeh, C. Chipot, and T. Lelièvre.
Potential of mean force calculations: A multiple-walker adaptive biasing force approach.
J. Chem. Theor. Comput., 6:1008-1017, 2010.

L. Monticelli, S. Kandasamy, X. Periole, and R. L. D. T. S. Marrink.
The martini coarse grained forcefield: extension to proteins.
J. Chem. Theor. Comp., 4:819-834, 2008.

Y. Mu, P. H. Nguyen, and G. Stock.
Energy landscape of a small peptide revealed by dihedral angle principal component analysis.
Proteins, 58(1):45-52, 2005.

J. K. Noel, P. C. Whitford, K. Y. Sanbonmatsu, and J. N. Onuchic.
SMOG@ctbp: simplified deployment of structure-based models in GROMACS.
Nucleic Acids Research, 38:W657-61, 2010.

A. Onufriev, D. Bashford, and D. A. Case.
Modification of the generalised born model suitable for macromolecules.
J. Phys. Chem., 104:3712-3720, 2000.

A. Onufriev, D. Bashford, and D. A. Case.
Exploring protein native states and large-scale conformational changes with a modified generalized born model.
Proteins: Struct., Func., Gen., 55:383-394, 2004.

D. A. Pearlman.
A comparison of alternative approaches to free energy calculations.
J. Phys. Chem., 98:1487-1493, 1994.

J. W. Pitera and J. D. Chodera.
On the use of experimental observations to bias simulated ensembles.
J. Chem. Theory Comput., 8:3445-3451, 2012.

P. Raiteri, A. Laio, F. L. Gervasio, C. Micheletti, and M. Parrinello.
Efficient reconstruction of complex free energy landscapes by multiple walkers metadynamics.
J. Phys. Chem. B, 110(8):3533-9, 2005.

A. Roitberg and R. Elber.
Modeling side chains in peptides and proteins: Application of the locally enhanced sampling technique and the simulated annealing methods to find minimum energy conformations.
J. Chem. Phys., 95:9277-9287, 1991.

M. J. Ruiz-Montero, D. Frenkel, and J. J. Brey.
Efficient schemes to compute diffusive barrier crossing rates.
Mol. Phys., 90:925-941, 1997.

M. Schaefer and C. Froemmel.
A precise analytical method for calculating the electrostatic energy of macromolecules in aqueous solution.
J. Mol. Biol., 216:1045-1066, 1990.

R. Shen, W. Han, G. Fiorin, S. M. Islam, K. Schulten, and B. Roux.
Structural refinement of proteins by restrained molecular dynamics simulations with non-interacting molecular fragments.
PLoS Comput. Biol., 11(10):e1004368, 2015.

M. R. Shirts, D. L. Mobley, J. D. Chodera, and V. S. Pande.
Accurate and efficient corrections for missing dispersion interactions in molecular simulations.
J. Phys. Chem. B, 111(45):13052-13063, 2007.

C. Simmerling, T. Fox, and P. A. Kollman.
Use of locally enhanced sampling in free energy calculations: Testing and application to the $ \alpha\rightarrow\beta$ anomerization of glucose.
J. Am. Chem. Soc., 120(23):5771-5782, 1998.

C. Simmerling, M. R. Lee, A. R. Ortiz, A. Kolinski, J. Skolnick, and P. A. Kollman.
Combining MONSSTER and LES/PME to predict protein structure from amino acid sequence: Application to the small protein CMTI-1.
J. Am. Chem. Soc., 122(35):8392-8402, 2000.

R. D. Skeel and J. J. Biesiadecki.
Symplectic integration with variable stepsize.
Ann. Numer. Math., 1:191-198, 1994.

J. Srinivasan, M. W. Trevathan, P. Beroza, and D. A. Case.
Application of a pairwise generalized born model to proteins and nucleic acids: inclusion of salt eff˘Ć░čects.
Theor Chem Acc, 101:426-434, 1999.

W. C. Still, A. Tempczyk, R. C. Hawley, and T. Hendrickson.
Semianalytical treatment of solvation for molecular mechanics and dynamics.
J. Am. Chem. Soc., 112:6127-6129, 1990.

T. P. Straatsma and J. A. McCammon.
Multiconfiguration thermodynamic integration.
J. Chem. Phys., 95:1175-1118, 1991.

T. P. Straatsma and J. A. McCammon.
Computational alchemy.
Annu. Rev. Phys. Chem., 43:407-435, 1992.

B. T. Thole.
Molecular polarizabilities calculated with a modified dipole interaction.
Chem. Phys., 59:341-350, 1981.

P. Van Duijnen and M. Swart.
Molecular and atomic polarizabilities: Thole's model revisited.
J. Phys. Chem. A, 102(14):2399-2407, 1998.

W. F. van Gunsteren.
Methods for calculation of free energies and binding constants: Successes and problems.
In W. F. Van Gunsteren and P. K. Weiner, editors, Computer simulation of biomolecular systems: Theoretical and experimental applications, pages 27-59. Escom, The Netherlands, 1989.

Y. Wang, C. Harrison, K. Schulten, and J. McCammon.
Implementation of accelerated molecular dynamics in NAMD.
"Comp. Sci. Discov.", 4:015002, 2011.

J. Weiser, P. Senkin, and W. C. Still.
Approximate atomic surfaces from linear combinations of pairwise overlaps (LCPO).
J. Comp. Chem., 20:217-230, 1999.

A. D. White and G. A. Voth.
Efficient and minimal method to bias molecular simulations with experimental data.
J. Chem. Theory Comput., ASAP, 2014.

P. C. Whitford, J. K. Noel, S. Gosavi, A. Schug, K. Y. Sanbonmatsu, and J. N. Onuchic.
An all-atom structure-based potential for proteins: Bridging minimal models with all-atom empirical forcefields.
Proteins, 75(2):430-441, 2009.

P. C. Whitford, A. Schug, J. Saunders, S. P. Hennelly, J. N. Onuchic, and K. Y. Sanbonmatsu.
Nonlocal helix formation is key to understanding s-adenosylmethionine-1 riboswitch function.
Biophysical Journal, 96(2):L7 - L9, 2009.

L. Zheng and W. Yang.
Practically efficient and robust free energy calculations: Double-integration orthogonal space tempering.
J. Chem. Theor. Compt., 8:810-823, 2012.

R. W. Zwanzig.
High-temperature equation of state by a perturbation method. i. nonpolar gases.
J. Chem. Phys., 22:1420-1426, 1954.