Biomolecular Simulation Using Amber and CHARMM

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This project supports the development of software using terascale computers to carry out molecular simulations of protein function and macromolecular interactions. We are building on the existing CHARMM and Amber simulation packages, adapting them in novel ways to massively parallel architectures and high-performance CPUs. Three principal avenues being pursued are: (1) Improvements in load-balancing and communication for large-scale particle-mesh Ewald (PME) simulations of solvated biomolecules. (2) Modern techniques for accelerating convergence of sampling of configuration space offer promise for further exploitation of massively parallel architectures. These methods include parallel tempering and ''lambda dynamics'' procedures that connect multiple, synchronized results from … continued below

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Case, David A. & Brooks, Charles L., III November 29, 2004.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 82 times. More information about this report can be viewed below.

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Description

This project supports the development of software using terascale computers to carry out molecular simulations of protein function and macromolecular interactions. We are building on the existing CHARMM and Amber simulation packages, adapting them in novel ways to massively parallel architectures and high-performance CPUs. Three principal avenues being pursued are: (1) Improvements in load-balancing and communication for large-scale particle-mesh Ewald (PME) simulations of solvated biomolecules. (2) Modern techniques for accelerating convergence of sampling of configuration space offer promise for further exploitation of massively parallel architectures. These methods include parallel tempering and ''lambda dynamics'' procedures that connect multiple, synchronized results from PME simulations like those described in part [1]. (3) The implementation of efficient and scalable algorithms that move towards lower-resolution models in ways that can be carefully calibrated against atomic-level solvated simulations.

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  • November 29, 2004

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  • Dec. 3, 2015, 9:30 a.m.

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  • July 10, 2019, 1:14 p.m.

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Case, David A. & Brooks, Charles L., III. Biomolecular Simulation Using Amber and CHARMM, report, November 29, 2004; United States. (https://digital.library.unt.edu/ark:/67531/metadc780632/: accessed February 19, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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