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Titlebook: Biomolecular Simulations; Methods and Protocol Massimiliano Bonomi,Carlo Camilloni Book 2019 Springer Science+Business Media, LLC, part of

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Leonard F. Koziol,Paul Beljan,Lauren Barker space, complexity of simulation set up and analysis, and the large computational resources required to pursue such calculations. Over the past few years, there have been advances in computing power, classical force field accuracy, enhanced sampling algorithms, and simulation setup. This has led to
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https://doi.org/10.1007/978-3-642-34059-8e, such a sampling scheme can handle an arbitrarily large number of CVs. A standard enhanced sampling technique combined with an adaptive path-CV can then locate the mean transition pathway and obtain the free energy profile along the path. In this chapter, we discuss the adaptive path-CV formalism
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David Cherney,Yuko Kurauchi,Alex McIntoshar dynamics package GROningen MAchine for Chemical Simulations (GROMACS). The instructions readily transfer to a large variety of other tasks, allowing the reader to use the cloud for their specific purposes..Importantly, by using Docker containers, a popular light-weight virtualization solution, an
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https://doi.org/10.1007/978-3-319-07419-1. The computational aspects of this approach are implemented in our open-source . (IMP), a comprehensive and extensible software package for integrative modeling (.). In particular, we rely on the . (PMI) module of IMP that provides facile mixing and matching of macromolecular representations, restr
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Improvement of RNA Simulations with Torsional Revisions of the AMBER Force Fielderal RNA torsions is briefly described. Applications of the revised torsional parameters to study RNA nucleosides, single-stranded RNA tetramers, and RNA repeat expansions are described in detail. It is concluded that RNA force fields require constant revisions and should be benchmarked against dive
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