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There have been several studies suggesting that protein structures solved by NMR spectroscopy and x-ray crystallography show significant differences. To understand the origin of these differences, we assembled a database of high-quality…

生物大分子 · 定量生物学 2020-08-06 Zhe Mei , John D. Treado , Alex T. Grigas , Zachary A. Levine , Lynne Regan , Corey S. O'Hern

Numerous studies have investigated the differences and similarities between protein structures determined by solution NMR spectroscopy and those determined by x-ray crystallography. A fundamental question is whether any observed differences…

生物大分子 · 定量生物学 2022-10-10 Alex T. Grigas , Zhuoyi Liu , Lynne Regan , Corey S. O'Hern

Simulations of biological macromolecules play an important role in understanding the physical basis of a number of complex processes such as protein folding. Even with increasing computational power and evolution of specialized…

分布式、并行与集群计算 · 计算机科学 2019-09-18 Hyungro Lee , Heng Ma , Matteo Turilli , Debsindhu Bhowmik , Shantenu Jha , Arvind Ramanathan

Folding protein dynamics has been an area of high interest for quite some time, especially given the increased focus on the field of Biophysics. Because folding dynamics occur on such short time scales, empirical techniques developed for…

软凝聚态物质 · 物理学 2022-10-11 Rickie Xian

Folding and aggregation of proteins, the interaction between proteins and membranes, as well as the adsorption of organic soft matter to inorganic solid substrates belong to the most interesting challenges in understanding structure and…

软凝聚态物质 · 物理学 2007-12-06 Michael Bachmann , Wolfhard Janke

Protein folding, peptide aggregation and crystallization, as well as adsorption of molecules on soft or solid substrates have an essential feature in common: In all these processes, structure formation is guided by a collective, cooperative…

统计力学 · 物理学 2009-02-12 Michael Bachmann , Wolfhard Janke

Intrinsically disordered proteins (IDPs) do not possess well-defined three-dimensional structures in solution under physiological conditions. We develop all-atom, united-atom, and coarse-grained Langevin dynamics simulations for the IDP…

Molecular dynamics (MD) simulations are used to investigate $^1$H nuclear magnetic resonance (NMR) relaxation and diffusion of bulk $n$-C$_5$H$_{12}$ to $n$-C$_{17}$H$_{36}$ hydrocarbons and bulk water. The MD simulations of the $^1$H NMR…

化学物理 · 物理学 2017-03-08 P. M. Singer , D. Asthagiri , W. G. Chapman , G. J. Hirasaki

Significant progress in computer hardware and software have enabled molecular dynamics (MD) simulations to model complex biological phenomena such as protein folding. However, enabling MD simulations to access biologically relevant…

生物大分子 · 定量生物学 2019-08-02 Heng Ma , Debsindhu Bhowmik , Hyungro Lee , Matteo Turilli , Michael T. Young , Shantenu Jha , Arvind Ramanathan

Molecular dynamics (MD) simulations are used in biochemistry, physics, and other fields to study the motions, thermodynamic properties, and the interactions between molecules. Computational limitations and the complexity of these problems,…

数值分析 · 数学 2018-01-17 F. Grogan , M. Holst , L. Lindblom , R. Amaro

Three coarse-grained molecular dynamics (MD) models are investigated with the aim of developing and analyzing multiscale methods which use MD simulations in parts of the computational domain and (less detailed) Brownian dynamics (BD)…

计算物理 · 物理学 2015-06-18 Radek Erban

The paradigm that the primary amino acid sequence prescribes structure and thus function has for a long time been central to the understanding of protein science. Though the theory is supported by the behaviour of most structured proteins,…

生物物理 · 物理学 2022-12-19 Rickie Xian , Sarah Rauscher

The biological properties of proteins are uniquely determined by their structure and dynamics. A protein in solution populates a structural ensemble of metastable configurations around the global fold. From overall rotation to local…

生物物理 · 物理学 2015-12-09 J. Copperman , M. G. Guenza

Motivation: Identification of flexible regions of protein structures is important for understanding of their biological functions. Recently, we have developed a fast approach for predicting protein structure fluctuations from a single…

生物大分子 · 定量生物学 2014-08-19 Michal Jamroz , Andrzej Kolinski , Sebastian Kmiecik

Molecular dynamics (MD) simulations allow atomistic insights into chemical and biological processes. Accurate MD simulations require computationally demanding quantum-mechanical calculations, being practically limited to short timescales…

In multi-resolution simulations, different system components are simultaneously modelled at different levels of resolution, these being smoothly coupled together. In the case of enzyme systems, computationally expensive atomistic detail is…

生物物理 · 物理学 2016-11-03 Aoife C. Fogarty , Raffaello Potestio , Kurt Kremer

Many aspects of the study of protein folding and dynamics have been affected by the recent advances in machine learning. Methods for the prediction of protein structures from their sequences are now heavily based on machine learning tools.…

生物物理 · 物理学 2019-11-25 Frank Noé , Gianni De Fabritiis , Cecilia Clementi

We study the dynamics of hydration water/protein association in folded proteins, using lysozyme and myoglobin as examples. Extensive molecular dynamics simulations are performed to identify underlying mechanisms of the dynamical transition…

软凝聚态物质 · 物理学 2015-05-13 J. Servantie , C. Atilgan , A. R. Atilgan

The assumption of linear response of protein molecules to thermal noise or structural perturbations, such as ligand binding or detachment, is broadly used in the studies of protein dynamics. Conformational motions in proteins are…

生物大分子 · 定量生物学 2010-06-21 Yuichi Togashi , Toshio Yanagida , Alexander S. Mikhailov

Molecular simulations of the forced unfolding and refolding of biomolecules or molecular complexes allow to gain important kinetic, structural and thermodynamic information about the folding process and the underlying energy landscape. In…

软凝聚态物质 · 物理学 2021-05-26 Marco Oestereich , Jürgen Gauss , Gregor Diezemann
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