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Giovanni B. Brandani

Researcher at Kyoto University

Publications -  22
Citations -  427

Giovanni B. Brandani is an academic researcher from Kyoto University. The author has contributed to research in topics: Nucleosome & Histone. The author has an hindex of 10, co-authored 21 publications receiving 331 citations. Previous affiliations of Giovanni B. Brandani include University of Edinburgh.

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DNA sliding in nucleosomes via twist defect propagation revealed by molecular simulations.

TL;DR: Analysis of the trajectories via Markov state modeling highlights how the sequence-dependence of the sliding dynamics is due to the different twist defect energy costs, and in particular how nucleosome regions where defects cannot easily form introduce the kinetic bottlenecks slowing down repositioning.
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Interfacial self-assembly of a bacterial hydrophobin

TL;DR: In this paper, it was shown that the amino acids making up the surface-exposed hydrophobic cap in the crystal structure are shielded in aqueous solution by adopting a random coil conformation, enabling the protein to be soluble and monomeric.
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Sequence-dependent nucleosome sliding in rotation-coupled and uncoupled modes revealed by molecular simulations.

TL;DR: This work investigated thermally-activated spontaneous nucleosome sliding mechanisms developing and applying a coarse-grained molecular simulation method that incorporates both long-range electrostatic and short-range hydrogen-bond interactions between histone octamer and DNA, revealing two distinct sliding modes depending on the nucleosomal DNA sequence.
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Chromatin remodelers couple inchworm motion with twist-defect formation to slide nucleosomal DNA.

TL;DR: The molecular mechanism of active nucleosome sliding is investigated by means of molecular dynamics simulations of the Snf2 remodeler translocase in complex with a nucleosomes to offer a detailed mechanistic picture of remodeling important for the complete understanding of these key biological processes.
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Quantifying disorder through conditional entropy: an application to fluid mixing.

TL;DR: In this article, the authors present a method to quantify the extent of disorder in a system by using conditional entropies, and apply it to mixing and demixing in multicomponent fluid membranes.