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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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Coevolutionary Analysis of Protein Sequences for Molecular Modelingct prediction through two examples, focusing on the predictions of inter-residue contacts in a single protein domain and on the analysis of a multi-domain protein that undergoes functional, large-scale conformational transitions.
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1064-3745 ation advice from the expertsThis volume explores the recent advancements in biomolecular simulations of proteins, small molecules, and nucleic acids, with a primary focus on classical molecular dynamics (MD) simulations at atomistic, coarse-grained, and quantum/ab-initio levels. The chapters in thi
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https://doi.org/10.1007/978-3-319-07419-1 learning how to model the structural ensemble of a small disordered peptide by combining state-of-the-art molecular mechanics force fields with nuclear magnetic resonance data, including chemical shifts, scalar couplings and residual dipolar couplings.
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Metadynamics to Enhance Sampling in Biomolecular Simulationsduce the method and its recent variants related to biomolecular studies and then discuss frontier areas of the method. A large part of this chapter is devoted to helping new users of the method understand how to choose metadynamics parameters properly and apply the method to their system of interest.
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1064-3745 -edge and comprehensive, .Biomolecular Simulations: Methods and Protocols. is a valuable resource for both novice and expert researchers who are interested in studying different a978-1-4939-9610-0978-1-4939-9608-7Series ISSN 1064-3745 Series E-ISSN 1940-6029
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Data Quality—Lifeblood of Digitalizationnic polarization response. For this reason, incorporating polarization effects into the energy function underlying a force field is believed to be an important step forward, giving rise to the development of polarizable force fields. Recent simulations of biological systems have indicated that polar
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Data Quality—Lifeblood of Digitalizationeral 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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