Abstract:Incoherent neutron scattering (iNS) is one of the most powerful techniques to study the dynamical behavior of bio-macromolecules such as proteins and lipid molecules or whole cells. This technique has widely been used to elucidate the fundamental aspects of molecular motions that manifest in the bio-macromolecules in relation to their intrinsic molecular properties and biological functions. Furthermore, in the last decade, iNS studies focusing on a possible relationship between molecular dynamics and biologica… Show more
“…Unlike the above models, the dynamical behaviors of these atoms were defined in advance using the diffusion-inside-asphere model and the jump-diffusion model, which are normally employed in QENS studies of proteins. 4,42 Since these two models have an intrinsic Q-dependence, global fitting, where all the spectra at all the Q values are fitted simultaneously, was employed against the simulated QENS data in this study. Moreover, a few prior considerations were necessary for successful fitting: from several trials of the global fitting, it was found that it is necessary to fix the a HM value in advance due to a large number of fitting parameters, and that a HM needs to be smaller than a LM because as a HM increases, i.e., the a HM value becomes closer to the a LM value, the fitting fails with some dynamical parameters taking negative values.…”
Thermal fluctuations of proteins at the ps-ns timescales are important for their functions and have extensively been studied using quasi-elastic neutron scattering (QENS). In general, QENS spectra of proteins are...
“…Unlike the above models, the dynamical behaviors of these atoms were defined in advance using the diffusion-inside-asphere model and the jump-diffusion model, which are normally employed in QENS studies of proteins. 4,42 Since these two models have an intrinsic Q-dependence, global fitting, where all the spectra at all the Q values are fitted simultaneously, was employed against the simulated QENS data in this study. Moreover, a few prior considerations were necessary for successful fitting: from several trials of the global fitting, it was found that it is necessary to fix the a HM value in advance due to a large number of fitting parameters, and that a HM needs to be smaller than a LM because as a HM increases, i.e., the a HM value becomes closer to the a LM value, the fitting fails with some dynamical parameters taking negative values.…”
Thermal fluctuations of proteins at the ps-ns timescales are important for their functions and have extensively been studied using quasi-elastic neutron scattering (QENS). In general, QENS spectra of proteins are...
“…For more complicated models, functions returning the Q-dependence of the half-width at half maximum (HWHM), the elastic incoherent structure factor (EISF) and the quasi-elastic incoherent structure factors (QISF) for the 1D peak are also provided. We refer to [8,18] for definitions of these terms.…”
This paper reports on the development of a collection of dynamical models of one-dimensional peak profile functions used to fit dynamic structure factors S (Q, ħω) of Quasi Elastic Neutron Scattering (QENS) data. The objective of this development is to create a maintainable and interoperable Python library with models reusable in other projects related to the analysis of data from Quasi Elastic Neutron Scattering experiments. The ambition is that the library also will serve as a platform where scientists can make their models available for others. We illustrate how the library can be used by newcomers to the field as well as by experts via different examples. These examples, provided as Jupyter notebooks, show how the QENS models can be integrated in the whole QENS data processing pipeline.
“…CC-BY 4.0 International license perpetuity. It is made available under a preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in The copyright holder for this this version posted September 12, 2022. ; https://doi.org/10.1101/2022.09.08.507213 doi: bioRxiv preprint in light of functional aberration of proteins, i.e., human diseases and disorders, has emerged during the last decade ( [13] and references therein). This trend, which is associated with molecular physiology and pathology, emphasizes more than ever the importance to interpret QENS data in association with protein functions, which are determined in light water environments.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have focused on the dynamicsfunction relationship of proteins such as bacteriorhodopsin [7][8][9][10] and those in photosystem II membrane fragments [11,12]. In addition to this, a new research trend focusing on protein dynamics in light of functional aberration of proteins, i.e., human diseases and disorders, has emerged during the last decade ( [13] and references therein). This trend, which is associated with molecular physiology and pathology, emphasizes more than ever the importance to interpret QENS data in association with protein functions, which are determined in light water environments.…”
Quasi-elastic neutron scattering (QENS) is a powerful technique to study protein dynamics. In general, QENS measurements are carried out in D2O solvent whereas functional studies of proteins are conducted in H2O solvent. Therefore, to link the QENS studies with the functional studies and then to understand the molecular basis of protein functions in detail, it is important to investigate the effects of solvent isotopic change on dynamical parameters obtained by QENS. For this purpose, in this study, MD simulations were carried out on hen egg white lysozyme, a well-folded and characterized protein, in H2O and in D2O. The dynamical parameters were extracted from the QENS spectra calculated from the MD trajectories. It was found that isotopic effects depend on energy resolutions and that at the energy resolutions that recent QENS studies often employ, the local dynamical behavior of proteins characterized in D2O more or less reflects that in H2O.
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