We describe the development, current features, and some directions for future development of the Amber package of computer programs. This package evolved from a program that was constructed in the late 1970s to do Assisted Model Building with Energy Refinement, and now contains a group of programs embodying a number of powerful tools of modern computational chemistry, focused on molecular dynamics and free energy calculations of proteins, nucleic acids, and carbohydrates.

/pdf/the-amber-biomolecular-simulation-programs-e2nyq1ef44.pdf

The Amber biomolecular simulation programs

CHARMM (Chemistry at HARvard Molecular Mechanics) is a highly versatile and widely used molecu- lar simulation program. It has been developed over the last three decades with a primary focus on molecules of bio- logical interest, including proteins, peptides, lipids, nucleic acids, carbohydrates, and small molecule ligands, as they occur in solution, crystals, and membrane environments. For the study of such systems, the program provides a large suite of computational tools that include numerous conformational and path sampling methods, free energy estima- tors, molecular minimization, dynamics, and analysis techniques, and model-building capabilities. The CHARMM program is applicable to problems involving a much broader class of many-particle systems. Calculations with CHARMM can be performed using a number of different energy functions and models, from mixed quantum mechanical-molecular mechanical force fields, to all-atom classical potential energy functions with explicit solvent and various boundary conditions, to implicit solvent and membrane models. The program has been ported to numer- ous platforms in both serial and parallel architectures. This article provides an overview of the program as it exists today with an emphasis on developments since the publication of the original CHARMM article in 1983.

/pdf/charmm-the-biomolecular-simulation-program-4kexem0xkx.pdf

CHARMM: the biomolecular simulation program.

CHARMM is an academic research program used widely for macromolecular mechanics and dynamics with versatile analysis and manipulation tools of atomic coordinates and dynamics trajectories. CHARMM-GUI, http://www.charmm-gui.org, has been developed to provide a web-based graphical user interface to generate various input files and molecular systems to facilitate and standardize the usage of common and advanced simulation techniques in CHARMM. The web environment provides an ideal platform to build and validate a molecular model system in an interactive fashion such that, if a problem is found through visual inspection, one can go back to the previous setup and regenerate the whole system again. In this article, we describe the currently available functional modules of CHARMM-GUI Input Generator that form a basis for the advanced simulation techniques. Future directions of the CHARMM-GUI development project are also discussed briefly together with other features in the CHARMM-GUI website, such as Archive and Movie Gallery.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.20945

CHARMM-GUI: a web-based graphical user interface for CHARMM.

CHARMM is an academic research program used widely for macromolecular mechanics and dynamicswith versatile analysis and manipulation tools of atomic coordinates and dynamics trajectories. CHARMM-GUI,http://www.charmm-gui.org, has been developed to provide a web-based graphical user interface to generate variousinput ﬁles and molecular systems to facilitate and standardize the usage of common and advanced simulation techni-ques in CHARMM. The web environment provides an ideal platform to build and validate a molecular model sys-tem in an interactive fashion such that, if a problem is found through visual inspection, one can go back to the pre-vious setup and regenerate the whole system again. In this article, we describe the currently available functionalmodules of CHARMM-GUI Input Generator that form a basis for the advanced simulation techniques. Future direc-tions of the CHARMM-GUI development project are also discussed brieﬂy together with other features in theCHARMM-GUI website, such as Archive and Movie Gallery.q 2008 Wiley Periodicals, Inc. J Comput Chem 29: 1859–1865, 2008Key words: molecular dynamics; Poisson-Boltzmann; electrostatic potential; membrane; visualization; explicit sol-vent; implicit solvent; MarvinSpace

Software News and Updates CHARMM-GUI: A Web-Based Graphical User Interface for CHARMM

Computational studies of proteins based on empirical force fields represent a powerful tool to obtain structure-function relationships at an atomic level, and are central in current efforts to solve the protein folding problem. The results from studies applying these tools are, however, dependent on the quality of the force fields used. In particular, accurate treatment of the peptide backbone is crucial to achieve representative conformational distributions in simulation studies. To improve the treatment of the peptide backbone, quantum mechanical (QM) and molecular mechanical (MM) calculations were undertaken on the alanine, glycine, and proline dipeptides, and the results from these calculations were combined with molecular dynamics (MD) simulations of proteins in crystal and aqueous environments. QM potential energy maps of the alanine and glycine dipeptides at the LMP2/cc-pVxZ//MP2/6-31G* levels, where x = D, T, and Q, were determined, and are compared to available QM studies on these molecules. The LMP2/cc-pVQZ//MP2/6-31G* energy surfaces for all three dipeptides were then used to improve the MM treatment of the dipeptides. These improvements included additional parameter optimization via Monte Carlo simulated annealing and extension of the potential energy function to contain peptide backbone phi, psi dihedral crossterms or a phi, psi grid-based energy correction term. Simultaneously, MD simulations of up to seven proteins in their crystalline environments were used to validate the force field enhancements. Comparison with QM and crystallographic data showed that an additional optimization of the phi, psi dihedral parameters along with the grid-based energy correction were required to yield significant improvements over the CHARMM22 force field. However, systematic deviations in the treatment of phi and psi in the helical and sheet regions were evident. Accordingly, empirical adjustments were made to the grid-based energy correction for alanine and glycine to account for these systematic differences. These adjustments lead to greater deviations from QM data for the two dipeptides but also yielded improved agreement with experimental crystallographic data. These improvements enhance the quality of the CHARMM force field in treating proteins. This extension of the potential energy function is anticipated to facilitate improved treatment of biological macromolecules via MM approaches in general.

Extending the treatment of backbone energetics in protein force fields: limitations of gas-phase quantum mechanics in reproducing protein conformational distributions in molecular dynamics simulations.

Computational methods: atomistic models and force fields dynamics methods conformational analysis treatment of long-range forces and potential internal co-ordinate simulation method implicit solvent models normal mode analysis of biological molecules free energy calculations reaction rates and transition pathways computer simulation of biochemical reactions with QM-MM methods Experimental data analysis: X-ray and neutron scattering as probes of the dynamics of biological molecules applications of molecular modelling in NMR structure determination Modelling and design: comparative protein structure modelling Bayesian statistics in molecular and structural biology Computer-aided drug design Advanced applications: protein folding simulations of electron transfer proteins the RISM-SCF/MCSCF approach for the chemical processes in solutions nucleic acids simulations membrane simulations Appendix: useful Web sites

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