Structural Dynamics-UsPub Date : 2025-07-18eCollection Date: 2025-07-01DOI: 10.1063/4.0000305
Victor Ukleev, Priya R Baral, Robert Cubitt, Nina-Juliane Steinke, Arnaud Magrez, Oleg I Utesov
{"title":"Helical spin dynamics in Cu<sub>2</sub>OSeO<sub>3</sub> as measured with small-angle neutron scattering.","authors":"Victor Ukleev, Priya R Baral, Robert Cubitt, Nina-Juliane Steinke, Arnaud Magrez, Oleg I Utesov","doi":"10.1063/4.0000305","DOIUrl":"10.1063/4.0000305","url":null,"abstract":"<p><p>The insulating chiral magnet Cu<sub>2</sub>OSeO<sub>3</sub> exhibits a rich array of low-temperature magnetic phenomena, making it a prime candidate for the study of its spin dynamics. Using spin wave small-angle neutron scattering (SWSANS), we systematically investigated the temperature-dependent behavior of the helimagnon excitations in the field-polarized phase of Cu<sub>2</sub>OSeO<sub>3</sub>. Our measurements, spanning 5-55 K, reveal the temperature evolution of spin-wave stiffness and damping constant with unprecedented resolution, facilitated by the insulating nature of Cu<sub>2</sub>OSeO<sub>3</sub>. These findings align with theoretical predictions and resolve discrepancies observed in previous studies, emphasizing the enhanced sensitivity of the SWSANS method. The results provide deeper insights into the fundamental magnetic properties of Cu<sub>2</sub>OSeO<sub>3</sub>, contributing to a broader understanding of chiral magnets.</p>","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 4","pages":"044301"},"PeriodicalIF":2.3,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12276044/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Dynamics-UsPub Date : 2025-07-10eCollection Date: 2025-07-01DOI: 10.1063/4.0000293
Philipp Lenzen, Kristoffer Haldrup, Asmus O Dohn, Frederik Beyer, Elisa Biasin, Morten Christensen, Bianca L Hansen, Tobias Harlang, Kasper Skov Kjær, Mads Goldschmidt Laursen, Peter Vester, Tim B van Driel, Matthieu Chollet, James M Glownia, Robert J Hartsock, Henrik T Lemke, Silke Nelson, Sanghoon Song, Kasper Steen Pedersen, Kelly J Gaffney, Klaus B Møller, Martin M Nielsen
{"title":"Structure and ultrafast dynamics of tri-nuclear Ag-/Tl-Pt<sub>2</sub>POP<sub>4</sub> complexes in solution.","authors":"Philipp Lenzen, Kristoffer Haldrup, Asmus O Dohn, Frederik Beyer, Elisa Biasin, Morten Christensen, Bianca L Hansen, Tobias Harlang, Kasper Skov Kjær, Mads Goldschmidt Laursen, Peter Vester, Tim B van Driel, Matthieu Chollet, James M Glownia, Robert J Hartsock, Henrik T Lemke, Silke Nelson, Sanghoon Song, Kasper Steen Pedersen, Kelly J Gaffney, Klaus B Møller, Martin M Nielsen","doi":"10.1063/4.0000293","DOIUrl":"10.1063/4.0000293","url":null,"abstract":"<p><p>The energetics and dynamics of ion assembly in solution has broad influence in nanomaterials and inorganic synthesis. To investigate the fundamental processes involved, we present a time-resolved x-ray solution scattering (TR-XSS) study of the trinuclear silver and thallium complexes of the diplatinum ion PtPOP [Pt<sub>2</sub>(H<sub>2</sub>P<sub>2</sub>O<sub>5</sub>) <math> <mrow> <mrow><msubsup><mrow></mrow> <mn>4</mn> <mrow><mn>4</mn> <mo>-</mo></mrow> </msubsup> </mrow> </mrow> </math> ] in aqueous solution. These complexes, their structural properties, and their electronic structure are not well understood and afford a unique opportunity to study the metal-metal bond formation that influences molecular and material assembly in solution. We present model-independent analysis of the observed dynamics as well as an analysis incorporating time-resolved structural refinements of key bond lengths with <100 fs time resolution. We find that upon photoexcitation, the Pt atoms contract <math><mo>∼</mo></math> 0.25 Å toward the center of both the Ag- and the Tl-PtPOP complexes, as previously observed for the PtPOP anion. For the AgPtPOP system, an ultrafast Ag-Pt bond expansion of <math><mo>∼</mo></math> 0.2 Å is observed, whereas in contrast, the TlPtPOP system exhibits a Tl-Pt bond contraction of <math><mo>∼</mo></math> 0.3 Å upon photoexcitation. For both complexes, the change in electronic state leads to coherent (\"wave-packet\") oscillations along the metal-Pt coordinates. Based on these structural dynamics, we propose an electronic structure model that describes the metal-metal bonding behavior in both the ground and excited state for both complexes.</p>","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 4","pages":"044902"},"PeriodicalIF":2.3,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12263179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144643877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Dynamics-UsPub Date : 2025-07-09eCollection Date: 2025-07-01DOI: 10.1063/4.0000764
Jaeseok Kim, Hyunwoo Jeong, Jae Hyuk Lee, Rory Ma, Daewoong Nam, Minseok Kim, Dogeun Jang, Jong Goo Kim
{"title":"Unveiling hidden wavepacket dynamics in time-resolved x-ray scattering data via singular spectrum analysis.","authors":"Jaeseok Kim, Hyunwoo Jeong, Jae Hyuk Lee, Rory Ma, Daewoong Nam, Minseok Kim, Dogeun Jang, Jong Goo Kim","doi":"10.1063/4.0000764","DOIUrl":"10.1063/4.0000764","url":null,"abstract":"<p><p>Time-resolved x-ray liquidography (TRXL) is a powerful technique for directly tracking ultrafast structural dynamics in real space. However, resolving the motion of vibrational wavepackets generated by femtosecond laser pulses remains challenging due to the limited temporal resolution and signal-to-noise ratio (SNR) of experimental data. This study addresses these challenges by introducing singular spectrum analysis (SSA) as an efficient method for extracting oscillatory signals associated with vibrational wavepackets from TRXL data. To evaluate its performance, we conducted a comparative study using simulated TRXL data, demonstrating that SSA outperforms conventional analysis methods such as the Fourier transform of temporal profiles and singular value decomposition, particularly under low SNR conditions. We further applied SSA to experimental TRXL data on the photodissociation of triiodide ( <math> <mrow> <mrow> <msubsup><mrow><mi>I</mi></mrow> <mn>3</mn> <mo>-</mo></msubsup> </mrow> </mrow> </math> ) in methanol, successfully isolating oscillatory signals arising from wavepacket dynamics in ground-state <math> <mrow> <mrow> <msubsup><mrow><mi>I</mi></mrow> <mn>3</mn> <mo>-</mo></msubsup> </mrow> </mrow> </math> and excited-state <math> <mrow> <mrow> <msubsup><mrow><mi>I</mi></mrow> <mn>2</mn> <mo>-</mo></msubsup> </mrow> </mrow> </math> , which had been challenging to resolve in previous TRXL studies. These results establish SSA as a highly effective tool for analyzing ultrafast structural dynamics in time-resolved experiments and open new opportunities for studying wavepacket dynamics in a wide range of photoinduced reactions.</p>","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 4","pages":"044901"},"PeriodicalIF":2.3,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12245396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144610048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preface to special topic: Celebrating the work and achievements of Keith Moffat.","authors":"Richard Neutze","doi":"10.1063/4.0000771","DOIUrl":"10.1063/4.0000771","url":null,"abstract":"","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 4","pages":"040401"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12221345/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Dynamics-UsPub Date : 2025-06-24eCollection Date: 2025-05-01DOI: 10.1063/4.0000765
Alexander M Ille, Emily Anas, Michael B Mathews, Stephen K Burley
{"title":"From sequence to protein structure and conformational dynamics with artificial intelligence/machine learning.","authors":"Alexander M Ille, Emily Anas, Michael B Mathews, Stephen K Burley","doi":"10.1063/4.0000765","DOIUrl":"10.1063/4.0000765","url":null,"abstract":"<p><p>The 2024 Nobel Prize in Chemistry was awarded in part for <i>de novo</i> protein structure prediction using AlphaFold2, an artificial intelligence/machine learning (AI/ML) model trained on vast amounts of sequence and three-dimensional structure data. AlphaFold2 and related models, including RoseTTAFold and ESMFold, employ specialized neural network architectures driven by attention mechanisms to infer relationships between sequence and structure. At a fundamental level, these AI/ML models operate on the long-standing hypothesis that the structure of a protein is determined by its amino acid sequence. More recently, AlphaFold2 has been adapted for the prediction of multiple protein conformations by subsampling multiple sequence alignments. Herein, we provide an overview of the deterministic relationship between sequence and structure, which was hypothesized over half a century ago with profound implications for the biological sciences ever since. We postulate that protein conformational dynamics are also determined, at least in part, by amino acid sequence and that this relationship may be leveraged for construction of AI/ML models dedicated to predicting protein conformational ensembles. Accordingly, we describe a conceptual model architecture, which may be trained on sequence data in combination with conformationally sensitive structural information, coming primarily from nuclear magnetic resonance (NMR) spectroscopy. Notwithstanding certain limitations in this context, NMR offers abundant structural heterogeneity conducive to conformational ensemble prediction. As NMR and other data continue to accumulate, sequence-informed prediction of protein structural dynamics with AI/ML has the potential to emerge as a transformative capability across the biological sciences.</p>","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 3","pages":"030902"},"PeriodicalIF":2.3,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12195464/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144498778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Dynamics-UsPub Date : 2025-06-20eCollection Date: 2025-05-01DOI: 10.1063/4.0000304
Charles Bou-Nader, Jamaine Davis, Louise N Dawe, David S Goodsell, James Kaduk, Bart Kahr, Helen Maynard-Casely, Brandon Q Mercado, Beata E Mierzwa, Olayinka Olatunji-Ojo, Allen Oliver, Christine Zardecki, Shao-Liang Zheng
{"title":"Advances in structural science: Education, outreach, and research applications.","authors":"Charles Bou-Nader, Jamaine Davis, Louise N Dawe, David S Goodsell, James Kaduk, Bart Kahr, Helen Maynard-Casely, Brandon Q Mercado, Beata E Mierzwa, Olayinka Olatunji-Ojo, Allen Oliver, Christine Zardecki, Shao-Liang Zheng","doi":"10.1063/4.0000304","DOIUrl":"10.1063/4.0000304","url":null,"abstract":"<p><p>A fundamental challenge for specialists in any field is communicating the importance and intricacies of their work to those outside of it. The 2024 Transactions Symposium held at the 74th annual meeting of the American Crystallographic Association: Structural Science Society was designed to address two pivotal themes concerning the promotion and understanding of structural science: first, pedagogical approaches of teaching structural science, emphasizing the methodologies that enhance student learning and second, strategies to capture the interest of non-specialists and the general public. By reflecting on what makes experts passionate about their field and what they wish others understood about it, the symposium highlighted actionable insight into bridging gaps and fostering a broader appreciation for structural science.</p>","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 3","pages":"034101"},"PeriodicalIF":2.3,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12182285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144477389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Dynamics-UsPub Date : 2025-06-12eCollection Date: 2025-05-01DOI: 10.1063/4.0000754
Bonnie J Cuthbert, Steven J Jensen, Christopher S Hayes, Celia W Goulding
{"title":"Advanced glycation end product (AGE) crosslinking of a bacterial protein: Are AGE-modifications going undetected in our studies?","authors":"Bonnie J Cuthbert, Steven J Jensen, Christopher S Hayes, Celia W Goulding","doi":"10.1063/4.0000754","DOIUrl":"10.1063/4.0000754","url":null,"abstract":"<p><p>The small reactive molecules, glyoxal (GO) and methylglyoxal (MGO), are common byproducts of metabolic processes. GO and MGO are known to modify proteins, DNA, and lipids, resulting in advance glycation end products (AGEs). AGEs are linked to numerous human diseases but are found across all three domains of life due to the widespread presence of GO and MGO. Recent structural studies have revealed that an antibacterial phospholipase toxin contains a methylglyoxal-derived imidazolium crosslink (MODIC). Unlike AGEs that are associated with human diseases and protein dysfunction, crosslinking is required for the toxin's enzymatic activity, indicating that MODIC acts as a bona fide post-translational modification to promote function. The MODIC-modified toxin represents the first structure in the protein data bank with an AGE-modification. However, because GO and MGO are present in all cells, AGE-modifications are likely more prevalent than currently reported but have gone undetected. We used the toxin's MODIC structural motif to query the protein data bank for other modified proteins. This search recovered the colicin Ia pore-forming toxin. Using the deposited crystal structure and structural data for colicin Ia, we were able to model glyoxal-derived imidazolium crosslink or MODIC modifications into the electron density map, suggesting that GO/MGO modifications may indeed be more common in bacterial proteins.</p>","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 3","pages":"031001"},"PeriodicalIF":2.3,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12165720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Dynamics-UsPub Date : 2025-06-12eCollection Date: 2025-05-01DOI: 10.1063/4.0000751
Spencer A Reisbick, Alexandre Pofelski, Myung-Geun Han, Chuhang Liu, Eric Montgomery, Chunguang Jing, Kayla Callaway, John Cumings, June W Lau, Yimei Zhu
{"title":"Statistically elucidated responses from low-signal contrast mechanisms in ultrafast electron microscopy.","authors":"Spencer A Reisbick, Alexandre Pofelski, Myung-Geun Han, Chuhang Liu, Eric Montgomery, Chunguang Jing, Kayla Callaway, John Cumings, June W Lau, Yimei Zhu","doi":"10.1063/4.0000751","DOIUrl":"10.1063/4.0000751","url":null,"abstract":"<p><p>The emergence of ultrafast electron microscopy (UEM) has enabled the discovery of strongly correlated dynamic mechanisms, including electron-phonon coupling, structural phase transitions, thermal transport, and electromagnetic deflection. Most UEM systems operate stroboscopically, meaning that the technique is susceptible to artifacts, mistakes, and misinterpretation of the data due to extensive experimental effort. In contrast to the ultrafast designation, data acquisition is extraordinarily slow because the electron beam has significantly reduced signal compared to traditional transmission electron microscopy due to pulsing the electron beam. Consequently, the sample may drift, tilt, or undergo irreversible structural changes that are independent of the time-resolved dynamics throughout the experimental time frame. Furthermore, these datasets require significant user interpretation that can be problematic when proper controls are not implemented thoroughly. Here, we demonstrate a new algorithm designed to separate ultrafast structural dynamics from long-term artifacts using a LiNbO<sub>3</sub> sample experiencing electrically driven surface acoustic wave propagation. Additionally, we provide examples of the impact of user bias when analyzing the data and provide a methodology, which enables the extraction of time-resolved responses when the image signal is extraordinarily low. Overall, the goal of this publication is to provide methods that validate the experimental results and reduce researcher biases during UEM data interpretation.</p>","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 3","pages":"034302"},"PeriodicalIF":2.3,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12165722/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Dynamics-UsPub Date : 2025-06-02eCollection Date: 2025-05-01DOI: 10.1063/4.0000756
James A Kaduk
{"title":"\"Everything's a sample\": Characterizing everyday materials using x-ray powder diffraction.","authors":"James A Kaduk","doi":"10.1063/4.0000756","DOIUrl":"10.1063/4.0000756","url":null,"abstract":"<p><p>We can learn something scientifically interesting about literally everything around us by examining it in a powder diffractometer. Comparing a macroscopic understanding of a material with the atomic-scale description proves to be a good way of generating excitement about our science among young people and the general public. I tell stories (case studies) about what can be learned by examining several classes of everyday materials: rocks (including slate and other flooring), water solids, rust and crud (including snow dirt), food (sugar, chocolate sandwich cookies, and peanut butter), medications (pain relief, decongestant, and pharmaceuticals), wood, and polymers.</p>","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 3","pages":"034501"},"PeriodicalIF":2.3,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12133226/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Structural Dynamics-UsPub Date : 2025-05-27eCollection Date: 2025-05-01DOI: 10.1063/4.0000753
Edward T Eng, Nichole R Valdez
{"title":"Applications of visualization technology in the structural sciences.","authors":"Edward T Eng, Nichole R Valdez","doi":"10.1063/4.0000753","DOIUrl":"10.1063/4.0000753","url":null,"abstract":"<p><p>The structural sciences are undergoing a transformation driven by advancements in visualization technologies that aid researchers in understanding and communicating experimental data from complex molecular systems. New applications of integrative structural biological and biophysical approaches add a wide variety of complementary information from a broad range of scientific disciplines. These approaches extend structural biophysical methodologies to enable research by the incorporation of a variety of data streams and utilization of tools like molecular graphics, virtual reality, and machine learning. To redefine how structural data-particularly from cryo-electron microscopy and x-ray crystallography-are fed forward for scientific exploration and communication, the advances in tools for data visualization and interpretation have been critical. By bringing molecular systems into an interactive three-dimensional space, these novel technologies enhance research workflows, facilitate structure-based drug design, and create engaging educational experiences. Taken together, these visualization innovations are essential tools for advancing the field by making concepts more accessible and compelling.</p>","PeriodicalId":48683,"journal":{"name":"Structural Dynamics-Us","volume":"12 3","pages":"030901"},"PeriodicalIF":2.3,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12119125/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144175406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}