Most structural techniques provide averaged information or information about a single predominant conformational state. However, biological macromolecules typically function through series of conformations. Therefore, a complete understanding of macromolecular structures requires knowledge of the ensembles that represent probabilities on a conformational free energy landscape. Here we describe an emerging approach, X-ray scattering interferometry (XSI), a method that provides instantaneous distance distributions for molecules in solution. XSI uses gold nanocrystal labels site-specifically attached to a macromolecule and measures the scattering interference from pairs of heavy metal labels. The recorded signal can directly be transformed into a distance distribution between the two probes. We describe the underlying concepts, present a detailed protocol for preparing samples and recording XSI data, and provide a custom-written graphical user interface to facilitate XSI data analysis. © 2018 by John Wiley & Sons, Inc.
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http://dx.doi.org/10.1002/cpnc.54 | DOI Listing |
Addiction
January 2025
Department of Optics, Laboratory of Vision Sciences and Applications, University of Granada, Granada, Spain.
Aims: This study aimed to determine the effect of vaporized cannabidiol (CBD) on visual function and vehicle driving performance, given the growing popularity of CBD use worldwide.
Design: Randomized, double-blind, placebo-controlled cross-over experimental study.
Setting: Laboratory of Vision Sciences and Applications, University of Granada, Spain.
Parasite Epidemiol Control
November 2024
Swiss Tropical and Public Health Institute, Basel, Switzerland.
Background: In low-and-middle income countries, national representative household surveys such as the Demographic and Health Surveys (DHS) and the Malaria Indicator Surveys (MIS) are routinely carried out to assess the malaria risk and the coverage of related interventions. A two-stage sampling design was used to identify clusters and households within each cluster. To ensure confidentiality, DHS made the data available after jittering (displacement) of the geographical coordinates of the clusters, shifting their original locations within a radius of 10 km.
View Article and Find Full Text PDFLangmuir
January 2025
School of Materials Science and Engineering, Tianjin Key Laboratory of Composite and Functional Materials, Tianjin University, Tianjin 300350, China.
Spin glass (SG), in which the spins are glassy, has attracted broad attention for theoretical study and prospective application. SG states are generally related to disordered or frustrated spin systems, which are usually observed in inorganic magnets. Herein, supramolecular magnetic ionic liquid (TMTBDI[FeCl]) self-assemblies are prepared by solution self-assembly via hydrophobic and π-π stacking interactions.
View Article and Find Full Text PDFJ Prosthodont Res
January 2025
Department of Masticatory Function and Health Science, Division of Oral Health Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.
Purpose: To compare the stress distribution in loaded zirconia resin-bonded fixed dental prostheses (RBFDPs) and periodontal tissue using finite element analysis, considering reduced alveolar bone levels and the number of retainers.
Methods: A human skull was micro-CT scanned. Three framework designs were tested: a 2-unit RBFDP using the maxillary left central incisor (#21) as an abutment, another using a canine (#23), and a 3-unit RBFDP using both #21 and #23.
Water Res
December 2024
School of Environment, Tsinghua University, 100084, Beijing, PR China.
Leak detection is crucial for ensuring the safety of water systems and conserving water resources. However, current research on machine learning methods for leak detection focuses excessively on model development while neglecting model interpretability, which leads to transparency and credibility issues in practical applications. This study proposes the multi-channel convolution neural network (MCNN) model and compares the performance of the MCNN model with the existing benchmark algorithm (i.
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