Fix OS X openCL builds
[gromacs.git] / docs / manual / monster.bib
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37 @String{BTjacs = "J. Am. Chem. Soc."}
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48 @String{BTjcsft = "J. Chem. Soc. Far. Trans."}
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55 @String{BTjms = "J. Mol. Struct."}
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63 @string{BTmie = "Methods in Enyzmology"}
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66 @String{BTnsb = "Nature Struct. Biol."}
67 @String{BTpeng = "Prot. Eng."}
68 @String{BTpnas = "Proc. Natl. Acad. Sci. USA"}
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70 @String{BTpra = "Phys. Rev. {\bf A}"}
71 @String{BTprb = "Phys. Rev. {\bf B}"}
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7607 volume = 354,
7608 pages = {173--183}
7611 @Article{Spoel2005a,
7612 author = {David van der Spoel and Erik Lindahl and Berk Hess and Gerrit Groenhof and Alan E. Mark and Herman J. C. Berendsen},
7613 title = {{GROMACS}: {F}ast, {F}lexible and {F}ree},
7614 journal = BTjcc,
7615 year = 2005,
7616 volume = 26,
7617 pages = {1701--1718},
7620 @Article{Spoel2006a,
7621 author = {D. van der Spoel and P. J. van Maaren},
7622 title = {The Origin of Layer Structure Artifacts in
7623 Simulations of Liquid Water },
7624 journal = BTjctc,
7625 year = 2006,
7626 volume = 2,
7627 pages = {1--11},
7628 OPTabstract = {},
7629 OPTnote = {},
7630 OPTurl = {http://dx.doi.org/10.1021/ct0502256}
7633 @Article{Spoel2006b,
7634 author = {D. van der Spoel and P. J. van Maaren and P. Larsson and N. Timneanu},
7635 title = {Thermodynamics of hydrogen bonding in hydrophilic and
7636 hydrophobic media},
7637 journal = BTjpcb,
7638 year = 2006,
7639 volume = 110,
7640 pages = {4393--4398}
7645 @Article{Beutler94,
7646 author = {Thomas C. Beutler and Alan E. Mark and Ren{\'e} C. van Schaik and Paul R. Greber and Wilfred F. van Gunsteren},
7647 title = {Avoiding singularities and numerical instabilities in free energy calculations based on molecular simulations},
7648 journal = BTcpl,
7649 year = 1994,
7650 volume = 222,
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7654 @Article{Luzar2000a,
7655 author = {A. Luzar},
7656 title = {Resolving the hydrogen bond dynamics conundrum},
7657 journal = BTjcp,
7658 year = 2000,
7659 volume = 113,
7660 pages = {10663--10675},
7661 OPTabstract = {This paper analyzes dynamic properties of hydrogen bonds in liquid water. We use molecular dynamics simulation to calculate different probability densities that govern the time evolution of the formation and rupture of hydrogen bonds. We provide analytical connections between these functions. Excellent agreement with our simulation results is observed. We prove transition state theory rate constant to be identical to the inverse of the associated mean first passage time (hydrogen bond lifetime). Hence, the analysis establishes its Arrhenius temperature dependence. We give the explicit relation between reactive flux correlation function for the relaxation dynamics of hydrogen bonds, and their first passage time probability densities. All the different observations in the existing literature, associated with various estimates of hydrogen bonding times in liquid water that are affected (or not affected) by particular bond criteria, as well as by different definitions of hydrogen bond lifetimes applied in simulation, can be easily reconciled within the framework of reactive flux correlation function approach.},
7662 OPTnote = {}
7665 @Article{Luzar96b,
7666 author = {A. Luzar and D. Chandler},
7667 title = {Hydrogen-bond kinetics in liquid water},
7668 journal = BTnature,
7669 year = 1996,
7670 volume = 379,
7671 pages = {55--57}
7674 @Article{mopac,
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7685 title = {{Computational chemistry on the FPS-X64 scientific computers - Experience on single- and multi-processor systems}},
7686 journal = {Theor. Chim. Act.},
7687 year = 1987,
7688 volume = 71,
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7694 M. A. Robb and J. R. Cheeseman and Montgomery, Jr., J. A. and T. Vreven and
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7709 B. Johnson and W. Chen and M. W. Wong and C. Gonzalez and J. A. Pople},
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7716 title = {Unified Approach for Molecular Dynamics and Density-Functional Theory},
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7726 journal = BTjcc,
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7734 title = {{ONIOM} A Multilayered Integrated {MO} + {MM} Method for Geometry Optimizations and Single Point Energy Predictions. A Test for {D}iels-{A}lder Reactions and {Pt(P(t-Bu)3)2} + {H}2 Oxidative Addition},
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7736 year = 1996,
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7741 @Article{Maseras96a,
7742 author = {F. Maseras and K. Morokuma},
7743 title = {{IMOMM: A New Ab Initio + Molecular Mechanics Geometry Optimization Scheme of Equilibrium Structures and Transition States}},
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7746 volume = 16,
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7750 @Article{Mu2005a,
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7752 title = {Energy landscape of a small peptide revelaed by dihedral angle principal component analysis},
7753 journal = BTprot,
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7755 volume = {58},
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7759 @Article{Jorgensen86a,
7760 author = {W. L. Jorgensen86},
7761 title = {Optimized intermolecular potential for liquid alcohols},
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7764 volume = 90,
7765 pages = {1276--1284}
7768 @Article{Shaw2005a,
7769 author = {D. E. Shaw},
7770 title = {A fast, scalable method for the parallel evaluation of distance-limited pairwise particle interactions},
7771 journal = BTjcc,
7772 year = 2005,
7773 volume = 26,
7774 pages = {1318--1328}}
7776 @Article{Shaw2005,
7777 author = {Kevin J. Bowers and Ron O. Dror and David E. Shaw},
7778 title = {Overview of neutral territory methods for the parallel evauluation of pairwise particle interactions},
7779 journal = {J. Phys. Conf. Ser.},
7780 year = 2005,
7781 volume = 16,
7782 pages = {300--304}
7785 @Article{Shaw2006,
7786 author = {Kevin J. Bowers and Ron O. Dror and David E. Shaw},
7787 title = {The midpoint method for parallelization of particle simulations},
7788 journal = BTjcp,
7789 year = 2006,
7790 volume = 124,
7791 number = 18,
7792 pages = {184109--184109}
7795 @Article{Shaw2007a,
7796 author = {Kevin J. Bowers and Ron O. Dror and David E. Shaw},
7797 title = {Zonal methods for the parallel execution of range-limited $N$-body simulations},
7798 journal = BTjcomp,
7799 year = 2007,
7800 volume = 221,
7801 pages = {303--329}
7804 @Article{Shaw2007b,
7805 author = {Ross A. Lippert and Kevin J. Bowers and Ron O. Dror and Michael P. Eastwood and Brent A. Gregersen and John L. Klepeis and Istvan Kolossvary and D. E. Shaw},
7806 title = {A common, avoidable source of error in molecular dynamics integrators},
7807 journal = BTjcp,
7808 year = 2007,
7809 volume = 126,
7810 pages = 046101
7813 @Article{Shaw2008a,
7814 author = {David E. Shaw and Martin M. Deneroff and Ron O. Dror and Jeffrey S. Kuskin and Richard H. Larson and John K. Salmon and Cliff Young and Brannon Batson and Kevin J. Bowers and Jack C. Chao and Michael P. Eastwood and Joseph Gagliardo and J.P. Grossman and C. Richard Ho and Douglas J. Ierardi and István Kolossváry and John L. Klepeis and Timothy Layman and Christine McLeavey and Mark A. Moraes and Rolf Mueller and Edward C. Priest and Yibing Shan and Jochen Spengler and Michael Theobald and Brian Towles and and Stanley C. Wang},
7815 title = {Anton, A Special-Purpose Machine for Molecular Dynamics Simulation},
7816 journal = {Communications of the ACM},
7817 year = 2008,
7818 volume = 51,
7819 number = 7,
7820 pages = {91--97}}
7822 @Article{Bush2006a,
7823 author = {I. J. Bush and I. T. Todorov and W. Smith},
7824 title = {A DAFT DL_POLY1 distributed memory adaptation of the smoothed particle mesh Ewald method},
7825 journal = {Comput. Phys. Commun.},
7826 volume = {175},
7827 year = {2006},
7828 pages = {323-329},
7829 OPTabstract = {The Smoothed Particle Mesh Ewald method [U. Essmann, L. Perera, M.L.
7830 Berkowtz, T. Darden, H. Lee, L.G. Pedersen, J. Chem. Phys. 103 (1995)
7831 8577] for calculating long ranged forces in molecular simulation has
7832 been adapted for the parallel molecular dynamics code DL_POLY_3 [I.T.
7833 Todorov, W. Smith, Philos. Trans. Roy. Soc. London 362 (2004) 18351,
7834 making use of a novel 3D Fast Fourier Transform (DAFT) [ I.J. Bush, The
7835 Daresbury Advanced Fourier transform, Daresbury Laboratory, 19991 that
7836 perfectly matches the Domain Decomposition (DD) parallelisation
7837 strategy [W. Smith, Comput. Phys. Comm. 62 (1991) 229; M.R.S. Pinches,
7838 D. Tildesley, W. Smith, Mol. Sim. 6 (1991) 51; D. Rapaport, Comput.
7839 Phys. Comm. 62 (1991) 217] of the DL_POLY_3 code. In this article we
7840 describe software adaptations undertaken to import this functionality
7841 and provide a review of its performance. (C) 2006 Elsevier B.V. All
7842 rights reserved.
7843 0010-4655}
7846 @Article{Masella2006a,
7847 author = {M. Masella},
7848 title = {The multiple time step r-RESPA procedure and polarizable potentials based on induced dipole moments},
7849 journal = {Mol. Phys.},
7850 volume = {104},
7851 year = {2006},
7852 pages = {415-428},
7853 OPTabstract = {In the present study, we present an accelerating scheme based on the
7854 reversible multiple time step r-RESPA method to be used in molecular
7855 dynamics simulations with polarizable potentials based on induced
7856 dipole moments. Even if the induced dipoles are estimated with an
7857 iterative self-consistent procedure, this scheme significantly reduces
7858 the CPU time needed to perform a molecular dynamics simulation, up to a
7859 factor 2, as compared to the Car-Parrinello method where additional
7860 dynamical variables are introduced for the treatment of the induced
7861 dipoles. The tests show that stable and reliable molecular dynamics
7862 trajectories can be generated with that scheme, and that the physical
7863 properties derived from the trajectories are equivalent to those
7864 computed with the classical all atom iterative approach and the
7865 Car-Parrinello one.
7866 0026-8976}
7869 @Article{Wang2005a,
7870 author = {W. Wang and R. D. Skeel},
7871 title = {Fast evaluation of polarizable forces},
7872 journal = {J. Chem. Phys.},
7873 volume = {123},
7874 year = {2005},
7875 pages = {164107},
7876 OPTabstract = {Polarizability is considered to be the single most significant
7877 development in the next generation of force fields for biomolecular
7878 simulations. However, the self-consistent computation of induced atomic
7879 dipoles in a polarizable force field is expensive due to the cost of
7880 solving a large dense linear system at each step of a simulation. This
7881 article introduces methods that reduce the cost of computing the
7882 electrostatic energy and force of a polarizable model from about 7.5
7883 times the cost of computing those of a nonpolarizable model to less
7884 than twice the cost. This is probably sufficient for the routine use of
7885 polarizable forces in biomolecular simulations. The reduction in
7886 computing time is achieved by an efficient implementation of the
7887 particle-mesh Ewald method, an accurate and robust predictor based on
7888 least-squares fitting, and non-stationary iterative methods whose fast
7889 convergence is accelerated by a simple preconditioner. Furthermore,
7890 with these methods, the self-consistent approach with a larger timestep
7891 is shown to be faster than the extended Lagrangian approach. The use of
7892 dipole moments from previous timesteps to calculate an accurate initial
7893 guess for iterative methods leads to an energy drift, which can be made
7894 acceptably small. The use of a zero initial guess does not lead to
7895 perceptible energy drift if a reasonably strict convergence criterion
7896 for the iteration is imposed. (c) 2005 American Institute of Physics.
7897 0021-9606}
7900 @Article{Izaguirre2005a,
7901 author = {J. A. Izaguirre and S. S. Hampton and T. Matthey},
7902 title = {Parallel multigrid summation for the N-body problem},
7903 journal = {J. Parallel Distrib. Comput.},
7904 volume = {65},
7905 year = {2005},
7906 pages = {949-962},
7907 OPTabstract = {An Theta(n) parallel multigrid summation method (MG) for the N-body
7908 problem is presented. The method was originally devised for vacuum
7909 boundary conditions. Here, it is extended to periodic boundary
7910 conditions and implemented in parallel using force decomposition and
7911 MPI. MG is based on a hierarchical decomposition of computational
7912 kernels on multiple grids. For low accuracy calculations, appropriate
7913 for molecular dynamics, a sequential implementation is as fast or
7914 faster than particle mesh Ewald (PME). Our parallel implementation is
7915 more scalable than PME. The method can be combined with multiple time
7916 stepping integrators to produce a powerful simulation protocol for
7917 simulation of biological molecules and other materials. The parallel
7918 implementation is tested on both a Linux cluster with Myrinet
7919 interconnect and a shared memory computer. It is available as
7920 open-source at http://protomol.sourceforge.net. An auxiliary tool
7921 allows the automatic selection of optimal parameters for MG, and is
7922 available at http://mdsimaid.cse.nd.edu. (c) 2005 Elsevier Inc. All
7923 rights reserved.
7924 0743-7315}
7927 @Article{Crocker2005a,
7928 author = {M. S. Crocker and S. S. Hampton and T. Matthey and J. A. Izaguirre},
7929 title = {MDSIMAID: Automatic parameter optimization in fast electrostatic algorithms},
7930 journal = {J. Comput. Chem.},
7931 volume = {26},
7932 year = {2005},
7933 pages = {1021-1031},
7934 OPTabstract = {MDSIMAID is a recommender system that optimizes parallel Particle Mesh
7935 Ewald (PME) and both sequential and parallel multigrid (MG) summation
7936 fast electrostatic solvers. MDSIMAID optimizes the running time or
7937 parallel scalability of these methods within a given error tolerance.
7938 MDSIMAID performs a run time constrained search on the parameter space
7939 of each method starting from semiempirical performance models.
7940 Recommended parameters are presented to the user. MDSIMAID'S
7941 optimization of MG leads to configurations that are up to 14 times
7942 faster or 17 times more accurate than published recommendations.
7943 Optimization of PME can improve its parallel scalability, making it run
7944 twice as fast in parallel in our tests. MDSIMAID and its Python source
7945 code are accessible through a Web portal located at
7946 http://mdsimaid.cse.nd.edu. (c) 2005 Wiley Periodicals, Inc.
7947 0192-8651}
7950 @Article{Germain2005a,
7951 author = {R. S. Germain and Y. Zhestkov and M. Eleftheriou and A. Rayshubskiy and F. Suits and T. J. C. Ward and B. G. Fitch},
7952 title = {Early performance data on the Blue Matter molecular simulation framework},
7953 journal = {IBM J. Res. Dev.},
7954 volume = {49},
7955 year = {2005},
7956 pages = {447-455},
7957 OPTabstract = {Blue Matter is the application framework being developed in conjunction
7958 with the scientific portion of the IBM Blue Gene(&REG;) project. We
7959 describe the parallel decomposition currently, being used to target the
7960 Blue Gene/L machine and discuss the application-based trace tools used
7961 to analyze the performance of the application. We also present the
7962 resuits of early performace studies, including a comparison of the
7963 performance of the Ewald and the particle-particle particle-mesh (P3ME)
7964 methods, compare the measured performance of some key collective
7965 operations with the limitations imposed by the hardware, and discuss
7966 some future directions for research.
7967 0018-8646}
7970 @Article{Peter2002a,
7971 author = {C. Peter and W. F. van Gunsteren and P. H. Hunenberger},
7972 title = {Solving the Poisson equation for solute-solvent systems using fast Fourier transforms},
7973 journal = {J. Chem. Phys.},
7974 volume = {116},
7975 year = {2002},
7976 pages = {7434-7451},
7977 OPTabstract = {An iterative algorithm based on fast Fourier transforms is proposed to
7978 solve the Poisson equation for systems of heterogeneous permittivity
7979 (e.g., solute cavity in a solvent) under periodic boundary conditions.
7980 The method makes explicit use of the dipole-dipole interaction tensor,
7981 and is thus easily generalizable to arbitrary forms of electrostatic
7982 interactions (e.g., Coulomb's law with straight or smooth cutoff
7983 truncation). The convergence properties of the algorithm and the
7984 influence of various model parameters are investigated in detail, and a
7985 set of appropriate values for these parameters is determined. The
7986 algorithm is further tested by application to three types of systems (a
7987 single spherical ion, two spherical ions, and small biomolecules), and
7988 comparison with analytical results (single ion) and with results
7989 obtained using a finite-difference solver under periodic boundary
7990 conditions. The proposed algorithm performs very well in terms of
7991 accuracy and convergence properties, with an overall speed comparable
7992 in the current implementation to that of a typical finite-difference
7993 solver. Future developments and applications of the algorithm will
7994 include: (i) the assessment of periodicity- and cutoff-induced
7995 artifacts in explicit-solvent simulations; (ii) the design of new
7996 electrostatic schemes for explicit-solvent simulations mimicking more
7997 accurately bulk solution; (iii) a faster evaluation of solvation free
7998 energies based on continuum electrostatics in cases where
7999 periodicity-induced artifacts can be neglected. (C) 2002 American
8000 Institute of Physics.
8001 0021-9606}
8004 @Article{Beckers1998a,
8005 author = {J. V. L. Beckers and C. P. Lowe and S. W. De Leeuw},
8006 title = {An iterative PPPM method for simulating Coulombic systems on distributed memory parallel computers},
8007 journal = {Mol. Simul.},
8008 volume = {20},
8009 year = {1998},
8010 pages = {369-383},
8011 OPTabstract = {We describe results obtained from a new implementation of Hockney's
8012 Particle-Particle Particle-Mesh (PPPM) method for evaluation of Coulomb
8013 energies and forces in simulations of charged particles. Rather than
8014 taking the usual approach, solving Poisson's equation by means of a
8015 Fourier transformation, we use an iterative Poisson solver. In a
8016 molecular dynamics (MD) simulation the solution from the previous
8017 time-step provides a good starting point for the next solution. This
8018 reduces the number of iterations per time-step to acceptable values.
8019 The iterative scheme has a complexity O(N), and, in contrast with the
8020 Fourier transform based approach, it is easily implemented on a
8021 parallel architecture with a minimum of communication overhead.
8022 We examine the origin of the errors in the algorithm and find that
8023 reasonable accuracies in the Coulomb interaction can best be attained
8024 by making the charge density profile as smooth as possible. This
8025 involves spreading the particle charges over a large number of grid
8026 points. Assigning these charges then becomes the most time consuming
8027 part of the algorithm. We show how we can then gain a considerable
8028 saving in computing time by employing a diffusion equation as a charge
8029 spreading mechanism.
8030 The effect of employing the algorithm with an accuracy less than that
8031 typically tolerated in an Ewald summation is studied by computing, from
8032 an MD simulation of silica, quantities that are sensitive to the long
8033 range part of the Coulomb interaction. These results are compared to
8034 full Ewald sum reference simulations and found to be within the
8035 statistical error.
8036 0892-7022}
8039 @Article{Meloni2007,
8040 author = {Simone Meloni and Mario Rosati},
8041 title = {Efficient partilce labeling in atomistic simulations},
8042 journal = {J. Chem. Phys.},
8043 year = {2007},
8044 volume = 126,
8045 pages = 121102
8048 @InProceedings{Clark91,
8049 author = "T.W. Clark and J. Andrew McCammon and L. Ridgway Scott",
8050 title = "Parallel Molecular Dynamics",
8051 editor = "J. Dongarra {\em et al.}",
8052 booktitle ="Proc. Fifth SIAM Conf. on Parallel Proc. for Sci. Comp.",
8053 year = 1991,
8054 pages = "338--344",
8055 publisher = "SIAM",
8056 address = "Philadelphia"
8059 @Article{Fitch03,
8060 author = "B.G. Fitch and R.S. Germain and M. Mendell and J. Pitera
8061 and M. Pitman and A. Rayshubskiy and Y. Sham and
8062 F. Suits and W. Swope and T.J.C. Ward and Y. Zhestkov
8063 and R. Zhou",
8064 title = "Blue Matter, an application framework for molecular simulation on Blue Gene",
8065 journal = "Journal of Parallel and Distributed Computing",
8066 volume = "63",
8067 year = {2003},
8068 pages = "759--773",
8071 @Article{Nelson96,
8072 author = "M.T. Nelson and W. Humphrey and A. Gursoy and A. Dalke
8073 and L.V. Kalé and R.D. Skeel and K. Schulten",
8074 title = "NAMD: a Parallel, Object-Oriented Molecular Dynamics Program",
8075 journal = "International Journal of High Performance Computing Applications",
8076 volume = "10",
8077 year = {1996},
8078 pages = "251--268",
8081 @Article{Jorgensen1996,
8082 author = {W. L. Jorgensen and D. S. Maxwell and J. Tirado-Rives},
8083 title = {Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids},
8084 journal = BTjacs,
8085 year = 1996,
8086 volume = 118,
8087 pages = {11225--11236}
8090 @article{Kutzner2007a,
8091 author = {Carsten Kutzner and David van der Spoel and Martin Fechner and Erik
8092 Lindahl and Udo W. Schmitt and Bert L. de Groot and Helmut Grubmuller},
8093 title = {Speeding up parallel GROMACS on high-latency networks},
8094 journal = BTjcc,
8095 year = {2007},
8096 volume = {28},
8097 pages = {2075--2084},
8101 @article{Rhee2004a,
8102 author = {Young Min Rhee and Eric J. Sorin and Guha Jayachandran and Erik Lindahl
8103 and Vijay S. Pande},
8104 title = {Simulations of the role of water in the protein- folding mechanism},
8105 journal = BTpnas,
8106 year = {2004},
8107 volume = {101},
8108 pages = {6456--6461},
8113 @Article{Hess2008a,
8114 author = {B. Hess},
8115 title = {{P-LINCS}: A parallel linear constraint solver for molecular simulation},
8116 journal = BTjctc,
8117 year = 2007,
8118 volume = 4,
8119 pages = {116--122}
8122 @Article{Harmandaris2007,
8123 author = {Vagelis A. Harmandaris and Dirk Reith and Nico F. A. van der Vegt and Kurt Kremer},
8124 title = {Comparison Between Coarse-Graining Models for Polymer Systems: Two Mapiing Schemes for Polystyrene},
8125 journal = {Macromolecules},
8126 year = 2007,
8127 volume = {208},
8128 pages = {2109--2120}
8131 @Article{Liem1991,
8132 author = {S. Y. Liem and D. Brown and J. H. R. Clarke},
8133 title = {Molecular dynamics simulations on distributed memory machines},
8134 journal = {Comput. Phys. Commun.},
8135 year = 1991,
8136 volume = 67,
8137 number = 2,
8138 pages = {261--267}
8141 @Article{Long05,
8142 author = {S. Long and E. B. Campbell and R. MacKinnon},
8143 title = {Crystal Structure of a Mammalian Voltage-dependent Shaker Family K$^+$ Channel},
8144 journal = {Science},
8145 year = 2005,
8146 volume = 309,
8147 pages = {897--903}
8150 @Article{Holian95,
8151 author = {Brad Lee Holian and Arthur F. Voter and Ramon Ravelo},
8152 title = {{Thermostatted molecular dynamics: How to avoid the Toda demon hidden in Nos{\'e}-Hoover dynamics}},
8153 journal = {Phys. Rev. E},
8154 year = 1995,
8155 volume = 52,
8156 number = 3,
8157 pages = {2338--2347}
8160 @Article{Weerasinghe2003,
8161 author = {Samantha Weerasinghe and Paul E. Smith},
8162 title = {{A Kirkwood-Buff derived force field for sodium chloride in water}},
8163 journal = BTjcp,
8164 year = 2003,
8165 volume = 119,
8166 number = 21,
8167 pages = {11342--11349}
8170 @InProceedings{Bowers2006,
8171 author = {Kevin J. Bowers and Edmond Chow and Huafeng Xu and Ron O. Dror and Michael P. Eastwood and Brent A. Gregersen and John L. Klepeis and Istvan Kolossvary and Mark A. Moraes and Federico D. Sacerdoti and John K. Salmon and and Yibing Shan and David E. Shaw},
8172 title = {Scalable algorithms for molecular dynamics simulations on commodity clusters},
8173 booktitle = {ACM/IEEE SC 2006 Conference (SC'06)},
8174 pages = 43,
8175 year = 2006,
8178 @Article{Phillips2005,
8179 author = {James C. Phillips and Rosemary Braun and Wei Wang and James Gumbart and Emad Tajkhorshid and Elizabeth Villa and Christophe Chipot and Robert D. Skeel and Laxmikant Kal\'{e} and Klaus Schulten},
8180 title = {Scalable molecular dynamics with NAMD},
8181 journal = BTjcc,
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8586 title = {{GROMACS} 4.5: a high-throughput and highly parallel open source molecular simulation toolkit},
8587 volume = {29},
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8589 pages = {845-854},
8590 year = {2013},
8591 doi = {10.1093/bioinformatics/btt055},
8592 abstract ={Motivation: Molecular simulation has historically been a low-throughput technique, but faster computers and increasing amounts of genomic and structural data are changing this by enabling large-scale automated simulation of, for instance, many conformers or mutants of biomolecules with or without a range of ligands. At the same time, advances in performance and scaling now make it possible to model complex biomolecular interaction and function in a manner directly testable by experiment. These applications share a need for fast and efficient software that can be deployed on massive scale in clusters, web servers, distributed computing or cloud resources.Results: Here, we present a range of new simulation algorithms and features developed during the past 4 years, leading up to the GROMACS 4.5 software package. The software now automatically handles wide classes of biomolecules, such as proteins, nucleic acids and lipids, and comes with all commonly used force fields for these molecules built-in. GROMACS supports several implicit solvent models, as well as new free-energy algorithms, and the software now uses multithreading for efficient parallelization even on low-end systems, including windows-based workstations. Together with hand-tuned assembly kernels and state-of-the-art parallelization, this provides extremely high performance and cost efficiency for high-throughput as well as massively parallel simulations.Availability: GROMACS is an open source and free software available from http://www.gromacs.org.Contact: erik.lindahl@scilifelab.seSupplementary information: Supplementary data are available at Bioinformatics online.},
8593 URL = {http://bioinformatics.oxfordjournals.org/content/29/7/845.abstract},
8594 eprint = {http://bioinformatics.oxfordjournals.org/content/29/7/845.full.pdf+html},
8595 journal = {Bioinformatics}
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8689 doi = {10.1002/(SICI)1096-987X(20000130)21:2<105::AID-JCC3>3.0.CO;2-P},
8690 pages = {105--120},
8691 keywords = {CHARMM, force field, molecular dynamics, parametrization, DNA, RNA},
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