Analyzing and Biasing Simulations with PLUMED.
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[1] Benoît Roux,et al. Extension to the weighted histogram analysis method: combining umbrella sampling with free energy calculations , 2001 .
[2] Joost VandeVondele,et al. cp2k: atomistic simulations of condensed matter systems , 2014 .
[3] Michael R. Shirts,et al. Statistically optimal analysis of samples from multiple equilibrium states. , 2008, The Journal of chemical physics.
[4] C. Bartels. Analyzing biased Monte Carlo and molecular dynamics simulations , 2000 .
[5] Fabrizio Marinelli,et al. Ensemble-Biased Metadynamics: A Molecular Simulation Method to Sample Experimental Distributions. , 2015, Biophysical journal.
[6] Gabriel Stoltz,et al. Computation of free energy profiles with parallel adaptive dynamics. , 2007, The Journal of chemical physics.
[7] Giovanni Bussi,et al. Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering , 2015, Journal of chemical theory and computation.
[8] R. Swendsen,et al. THE weighted histogram analysis method for free‐energy calculations on biomolecules. I. The method , 1992 .
[9] M. Vendruscolo,et al. Statistical mechanics of the denatured state of a protein using replica-averaged metadynamics. , 2014, Journal of the American Chemical Society.
[10] H. G. Petersen,et al. Error estimates on averages of correlated data , 1989 .
[11] E. Vanden-Eijnden,et al. A temperature accelerated method for sampling free energy and determining reaction pathways in rare events simulations , 2006 .
[12] Giovanni Bussi,et al. Unraveling Mg2+–RNA binding with atomistic molecular dynamics , 2016, RNA.
[13] Gregory A Voth,et al. A Combined Metadynamics and Umbrella Sampling Method for the Calculation of Ion Permeation Free Energy Profiles. , 2011, Journal of chemical theory and computation.
[14] A. Laio,et al. A bias-exchange approach to protein folding. , 2007, The journal of physical chemistry. B.
[15] Haohao Fu,et al. Extended Adaptive Biasing Force Algorithm. An On-the-Fly Implementation for Accurate Free-Energy Calculations. , 2016, Journal of chemical theory and computation.
[16] Gareth A. Tribello,et al. Solid-liquid interfacial free energy out of equilibrium , 2015, 1511.08668.
[17] Gregory A Voth,et al. Coarse-Grained Directed Simulation. , 2017, Journal of chemical theory and computation.
[18] Alessandro Laio,et al. Protein Folding and Ligand-Enzyme Binding from Bias-Exchange Metadynamics Simulations , 2012 .
[19] Massimiliano Bonomi,et al. Metainference: A Bayesian inference method for heterogeneous systems , 2015, Science Advances.
[20] Massimiliano Bonomi,et al. PLUMED 2: New feathers for an old bird , 2013, Comput. Phys. Commun..
[21] Massimiliano Bonomi,et al. Reconstructing the equilibrium Boltzmann distribution from well‐tempered metadynamics , 2009, J. Comput. Chem..
[22] Giovanni Bussi,et al. Empirical Corrections to the Amber RNA Force Field with Target Metadynamics , 2016, Journal of chemical theory and computation.
[23] Massimiliano Bonomi,et al. PLUMED: A portable plugin for free-energy calculations with molecular dynamics , 2009, Comput. Phys. Commun..
[24] G. Torrie,et al. Nonphysical sampling distributions in Monte Carlo free-energy estimation: Umbrella sampling , 1977 .
[25] M. Parrinello,et al. Enhanced sampling in the well-tempered ensemble. , 2009, Physical review letters.
[26] K Schulten,et al. VMD: visual molecular dynamics. , 1996, Journal of molecular graphics.
[27] Giovanni Bussi,et al. Combining Simulations and Solution Experiments as a Paradigm for RNA Force Field Refinement. , 2016, Journal of chemical theory and computation.
[28] Vojtěch Spiwok,et al. Metadynamics in the conformational space nonlinearly dimensionally reduced by Isomap. , 2011, The Journal of chemical physics.
[29] Giovanni Bussi,et al. Accurate multiple time step in biased molecular simulations. , 2014, Journal of chemical theory and computation.
[30] B. Ensing,et al. Path finding on high-dimensional free energy landscapes. , 2012, Physical review letters.
[31] Vojtech Spiwok,et al. Metadynamics in essential coordinates: free energy simulation of conformational changes. , 2007, The journal of physical chemistry. B.
[32] M. Parrinello,et al. Metadynamics with Adaptive Gaussians. , 2012, Journal of chemical theory and computation.
[33] Michele Ceriotti,et al. Recognizing molecular patterns by machine learning: an agnostic structural definition of the hydrogen bond. , 2014, The Journal of chemical physics.
[34] Massimiliano Bonomi,et al. Efficient Sampling of High-Dimensional Free-Energy Landscapes with Parallel Bias Metadynamics. , 2015, Journal of chemical theory and computation.
[35] Martin Karplus,et al. Probability Distributions for Complex Systems: Adaptive Umbrella Sampling of the Potential Energy , 1998 .
[36] Y. Sugita,et al. Replica-exchange molecular dynamics method for protein folding , 1999 .
[37] Gregory A Voth,et al. Designing free energy surfaces that match experimental data with metadynamics. , 2015, Journal of chemical theory and computation.
[38] Alessandro Laio,et al. Efficient exploration of reactive potential energy surfaces using Car-Parrinello molecular dynamics. , 2003, Physical review letters.
[39] Wei Chen,et al. Molecular enhanced sampling with autoencoders: On-the-fly nonlinear collective variable discovery and accelerated free energy landscape exploration , 2018 .
[40] Steve Plimpton,et al. Fast parallel algorithms for short-range molecular dynamics , 1993 .
[41] Z. Tan,et al. Theory of binless multi-state free energy estimation with applications to protein-ligand binding. , 2012, The Journal of chemical physics.
[42] Massimiliano Bonomi,et al. Integrative structural and dynamical biology with PLUMED-ISDB , 2017, Bioinform..
[43] Grant M. Rotskoff,et al. Transition-Tempered Metadynamics: Robust, Convergent Metadynamics via On-the-Fly Transition Barrier Estimation. , 2014, Journal of chemical theory and computation.
[44] M. Zacharias,et al. Enhanced conformational sampling of nucleic acids by a new Hamiltonian replica exchange molecular dynamics approach. , 2009, The Journal of chemical physics.
[45] Vijay S. Pande,et al. OpenMM 7: Rapid development of high performance algorithms for molecular dynamics , 2016, bioRxiv.
[46] A. Laio,et al. Free-energy landscape for beta hairpin folding from combined parallel tempering and metadynamics. , 2006, Journal of the American Chemical Society.
[47] Daniel R. Reid,et al. SSAGES: Software Suite for Advanced General Ensemble Simulations. , 2018, The Journal of chemical physics.
[48] Toni Giorgino. PLUMED-GUI: An environment for the interactive development of molecular dynamics analysis and biasing scripts , 2014, Comput. Phys. Commun..
[49] I. Jolliffe. Principal Component Analysis , 2002 .
[50] A. Laio,et al. Escaping free-energy minima , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[51] M. Parrinello,et al. From metadynamics to dynamics. , 2013, Physical review letters.
[52] M. Karplus,et al. Effective energy function for proteins in solution , 1999, Proteins.
[53] Darrin M. York,et al. Improvement of DNA and RNA Sugar Pucker Profiles from Semiempirical Quantum Methods , 2014, Journal of chemical theory and computation.
[54] Michele Parrinello,et al. Analyzing and Driving Cluster Formation in Atomistic Simulations. , 2017, Journal of chemical theory and computation.
[55] M. Tuckerman,et al. Efficient and direct generation of multidimensional free energy surfaces via adiabatic dynamics without coordinate transformations. , 2008, The journal of physical chemistry. B.
[56] Martin T. Dove,et al. DL_POLY_3: new dimensions in molecular dynamics simulations via massive parallelism , 2006 .
[57] Alessandro Laio,et al. A Collective Variable for the Efficient Exploration of Protein Beta-Sheet Structures: Application to SH3 and GB1. , 2009, Journal of chemical theory and computation.
[58] Francesco Luigi Gervasio,et al. From A to B in free energy space. , 2007, The Journal of chemical physics.
[59] Francesco Luigi Gervasio,et al. Comparing the Efficiency of Biased and Unbiased Molecular Dynamics in Reconstructing the Free Energy Landscape of Met-Enkephalin , 2010 .
[60] M. Parrinello,et al. Well-tempered metadynamics: a smoothly converging and tunable free-energy method. , 2008, Physical review letters.
[61] Berk Hess,et al. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers , 2015 .
[62] Vojtěch Spiwok,et al. Altruistic Metadynamics: Multisystem Biased Simulation. , 2016, The journal of physical chemistry. B.
[63] Patrick J. F. Groenen,et al. Modern Multidimensional Scaling: Theory and Applications , 2003 .
[64] Giovanni Bussi,et al. Free Energy Landscape of GAGA and UUCG RNA Tetraloops. , 2016, The journal of physical chemistry letters.
[65] B. Peters. Reaction Coordinates and Mechanistic Hypothesis Tests. , 2016, Annual review of physical chemistry.
[66] K. Schulten,et al. Binding pathway of retinal to bacterio-opsin: a prediction by molecular dynamics simulations. , 1997, Biophysical journal.
[67] Gerhard Hummer,et al. Native contacts determine protein folding mechanisms in atomistic simulations , 2013, Proceedings of the National Academy of Sciences.
[68] D. Cremer,et al. General definition of ring puckering coordinates , 1975 .
[69] M. Parrinello,et al. A time-independent free energy estimator for metadynamics. , 2015, The journal of physical chemistry. B.
[70] C. Jarzynski. Nonequilibrium Equality for Free Energy Differences , 1996, cond-mat/9610209.
[71] Giacomo Fiorin,et al. Using collective variables to drive molecular dynamics simulations , 2013 .
[72] Mohammad M. Sultan,et al. Transferable Neural Networks for Enhanced Sampling of Protein Dynamics. , 2018, Journal of chemical theory and computation.
[73] Michele Parrinello,et al. Simplifying the representation of complex free-energy landscapes using sketch-map , 2011, Proceedings of the National Academy of Sciences.
[75] Vijay S Pande,et al. tICA-Metadynamics: Accelerating Metadynamics by Using Kinetically Selected Collective Variables. , 2017, Journal of chemical theory and computation.
[76] Jiří Vondrášek,et al. Gyration- and inertia-tensor-based collective coordinates for metadynamics. Application on the conformational behavior of polyalanine peptides and Trp-cage folding. , 2011, The journal of physical chemistry. A.
[77] Michele Parrinello,et al. Variational approach to enhanced sampling and free energy calculations. , 2014, Physical review letters.
[78] Mark E. Tuckerman,et al. Reversible multiple time scale molecular dynamics , 1992 .
[79] Gregory A Voth,et al. Efficient and Minimal Method to Bias Molecular Simulations with Experimental Data. , 2014, Journal of chemical theory and computation.
[80] Michele Parrinello,et al. Well-tempered metadynamics converges asymptotically. , 2014, Physical review letters.
[81] Y. Sugita,et al. Free energy calculations for DNA base stacking by replica-exchange umbrella sampling , 2004 .
[82] Wei Yang,et al. Practically Efficient and Robust Free Energy Calculations: Double-Integration Orthogonal Space Tempering. , 2012, Journal of chemical theory and computation.
[83] Giovanni Bussi,et al. Molecular Dynamics Simulations Reveal an Interplay between SHAPE Reagent Binding and RNA Flexibility , 2017, The journal of physical chemistry letters.
[84] Giovanni Bussi,et al. RNA/Peptide Binding Driven by Electrostatics-Insight from Bidirectional Pulling Simulations. , 2013, Journal of chemical theory and computation.
[85] A. Laio,et al. Efficient reconstruction of complex free energy landscapes by multiple walkers metadynamics. , 2006, The journal of physical chemistry. B.
[86] W. Kabsch. A solution for the best rotation to relate two sets of vectors , 1976 .
[87] Michele Parrinello,et al. Well-Tempered Variational Approach to Enhanced Sampling. , 2015, Journal of chemical theory and computation.
[88] Michele Parrinello,et al. Using sketch-map coordinates to analyze and bias molecular dynamics simulations , 2012, Proceedings of the National Academy of Sciences.