Quantum Interaction Computational Kernel
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Amber 2021
Author: David A. Case
language: en
Publisher: University of California, San Francisco
Release Date: 2021-06-13
Amber is the collective name for a suite of programs that allow users to carry out molecular dynamics simulations, particularly on biomolecules. None of the individual programs carries this name, but the various parts work reasonably well together, and provide a powerful framework for many common calculations. The term Amber is also used to refer to the empirical force fields that are implemented here. It should be recognized, however, that the code and force field are separate: several other computer packages have implemented the Amber force fields, and other force fields can be implemented with the Amber programs. Further, the force fields are in the public domain, whereas the codes are distributed under a license agreement. The Amber software suite is divided into two parts: AmberTools21, a collection of freely available programs mostly under the GPL license, and Amber20, which is centered around the pmemd simulation program, and which continues to be licensed as before, under a more restrictive license. Amber20 represents a significant change from the most recent previous version, Amber18. (We have moved to numbering Amber releases by the last two digits of the calendar year, so there are no odd-numbered versions.) Please see https://ambermd.org for an overview of the most important changes. AmberTools is a set of programs for biomolecular simulation and analysis. They are designed to work well with each other, and with the “regular” Amber suite of programs. You can perform many simulation tasks with AmberTools, and you can do more extensive simulations with the combination of AmberTools and Amber itself. Most components of AmberTools are released under the GNU General Public License (GPL). A few components are in the public domain or have other open-source licenses. See the README file for more information.
Amber 2022
Author: David A. Case
language: en
Publisher: University of California, San Francisco
Release Date: 2022-04-28
Amber is the collective name for a suite of programs that allow users to carry out molecular dynamics simulations, particularly on biomolecules. None of the individual programs carries this name, but the various parts work reasonably well together, and provide a powerful framework for many common calculations. The term Amber is also used to refer to the empirical force fields that are implemented here. It should be recognized, however, that the code and force field are separate: several other computer packages have implemented the Amber force fields, and other force fields can be implemented with the Amber programs. Further, the force fields are in the public domain, whereas the codes are distributed under a license agreement. The Amber software suite is divided into two parts: AmberTools22, a collection of freely available programs mostly under the GPL license, and Amber22, which is centered around the pmemd simulation program, and which continues to be licensed as before, under a more restrictive license. Amber22 represents a significant change from the most recent previous version, Amber20. (We have moved to numbering Amber releases by the last two digits of the calendar year, so there are no odd-numbered versions.) Please see https://ambermd.org for an overview of the most important changes. AmberTools is a set of programs for biomolecular simulation and analysis. They are designed to work well with each other, and with the “regular” Amber suite of programs. You can perform many simulation tasks with AmberTools, and you can do more extensive simulations with the combination of AmberTools and Amber itself. Most components of AmberTools are released under the GNU General Public License (GPL). A few components are in the public domain or have other open-source licenses. See the README file for more information.
QM/MM Methods
Many chemical, physical, and biological processes occur in complex environments and span multiple scales in space and time. Combined (hybrid or integrated) quantum-mechanics/molecular-mechanics (QM/MM) is one family of multiscale algorithms for computer modeling these processes. First introduced in 1976, along with critical developments over the following decades, QM/MM is now a popular and powerful tool that helps scientists simultaneously capture the fundamental atomistic details and the overall big picture of these processes. Instead of providing a comprehensive survey of the QM/MM algorithms and their applications, QM/MM Methods focuses on explaining the key concepts in QM/MM methodology and how to interpret the results in applications. The author frequently uses small “toy” model systems to illustrate the fundamental principles, which can be easily generalized to large model systems. Unavoidably, formal proofs and many technical details are left out, for which readers are referred to the relevant literature. QM/MM Methods helps researchers enter the field with a good starting position, empowering them to ask the right questions in their QM/MM applications and select suitable algorithms to address them.