Biological condensates, previously known as membrane-less organelles, have been found to play a crucial role in DNA repair and aging. Researchers used the Frontera supercomputer to study their behavior and recruitment of molecules.
A team of scientists used THz pulses to study the intermolecular motion of liquid water, revealing a hydrogen bond harmonic oscillator model and polarizability anisotropy on sub-picosecond scales. The results provide insights into the transient structure of liquid water and its interaction with solvent molecules.
Researchers have discovered that LHCII trimer acts as a molecular machine responding to environmental conditions like temperature and acidity. This mechanism enables the protein to switch between efficient light collection and photoprotection, promoting energy dissipation when necessary.
A European research team developed a photographic film at the atomic level to track the motion of a molecular building block. The result shows a light-controlled 'pedalo-type motion', moving forward and backward, which could help control material properties with molecular switches.
A study by So Yoshikawa and Daisuke Matsunaka from Shinshu University elucidates the mechanism of non-basal slip systems in magnesium alloys, leading to improved ductility. The team used molecular dynamics simulations to analyze defect nucleation from I1-type stacking faults.
A team of researchers from the University of Tokyo has successfully captured high-speed atomic video at 1,600 frames per second using a powerful electron microscope and highly sensitive camera. This achievement is 100 times faster than previous experiments and enables the observation of previously inaccessible details.
Engineers have developed an AI-based rapid screening system to test fracture resistance in vast arrays of candidate materials. The system uses machine-learning to analyze the propagation of cracks through a material's molecular structure, reducing testing time from hours to milliseconds.
Researchers have discovered that polymers formed from the union of circular and linear components display slower molecular dynamics due to the 'harpooning' effect between heads and tails. This leads to a more viscous compound with potential applications in materials engineering and pharmaceuticals.
Researchers from the University of Groningen developed an algorithm that links large-scale changes to molecular-level simulations, enabling the simulation of a full-sized mitochondrial lipid membrane. This breakthrough allows for whole-cell simulations at a molecular level.
Scientists used molecular dynamics simulations to understand how SDS causes protein unfolding, revealing microscopic details of the process. The study provides insights into the properties of SDS-protein interactions and their applications in protein sequencing.
Scientists used computer simulations to study the interaction between actin and cell membranes, revealing that calcium ions play a key role in binding. The results provide new insights into the fundamental process of actin binding to membrane lipids.
Researchers at SISSA developed a new method to characterize RNA's different configurations, combining experimental data and simulations to study dynamic molecular systems. The approach identifies dominant and minority structures, shedding light on the molecule's role in protein synthesis regulation.
The University of Delaware will lead the development of a world-class neutron spin echo spectrometer, allowing scientists to detect molecular motion in various materials. The instrument will advance research in engineering, soft matter, and biological sciences, benefiting humanity through new medicines and technologies.
Researchers at Arizona State University have developed new methods using data science to analyze the motion of single molecules. By leveraging Bayesian nonparametrics, they can efficiently detect and refine signals, reducing acquisition times and increasing the scope of biological research.
The study reveals the dynamics of chemical reactions in unprecedented detail, capturing the excitation of a single electron in a molecule. The researchers used ultra-high-speed x-ray pulses to take snapshots of molecular motions at different stages, enabling them to analyze and reconstruct the shape of the molecule as it unfolded.
Researchers discovered two tri-terpenoids, ursolic acid and lupeol, with potential activity against Alzheimer's disease pathology. Lupeol showed better binding affinity than ursolic acid, suggesting its potential as a BACE1 inhibitor for AD therapy.
Scientists developed a new microscopy technique to track protein molecular motors with atomic-level precision and microsecond time resolution. The system achieved 1.3 angstrom localization precision at 1 millisecond time resolution, revealing details of the kinesin motor's motion.
A team of researchers from the University of Minnesota and University of Massachusetts Amherst has developed a method to predict molecular motion with high accuracy when confining molecules in small nanocages. This breakthrough discovery could improve the production of fuels and chemicals, as well as capture CO2 from the air.
Linda Gesenhues and Markus Höhnerbach receive fellowships for their work on finite element simulation of turbidity currents and portable optimizations of complex molecular dynamics codes. Their research has potential applications in geological phenomena, such as underwater volcanoes and earthquakes.
Researchers used molecular dynamics simulations to study DNA supercoiling and its impact on knot formation. They found that supercoiled regions can persistently lock in place critical contact points in DNA knots, making it easier for specialized enzymes to untie them.
Researchers have developed a method to simulate molecular motion using a photonic chip, allowing for the creation of virtual movies of molecular dynamics. This technology has the potential to improve the accuracy of molecular models and aid in the development of new pharmaceuticals.
Researchers at UCSD designed a two-dimensional protein crystal that can toggle between states of varying porosity and density. The material's structural dynamics were simulated using all-atom molecular dynamics, revealing new insights into the emergence of complex properties in biomolecules. Control over the opening and closing of pore...
Scientists have solved the puzzle of trans 1,3-butadiene's electronic-structural dynamics using ultrafast laser spectroscopy. The research reveals an ultrafast competition between ethylenelike and polyenelike dynamics in butadiene.
Researchers designed a scale-up nanoporous membrane centrifuge for reverse osmosis desalination, proving its feasibility through molecular dynamics simulations. The design overcomes two major obstacles: scaling up and fouling prevention, offering a self-cleaning mechanism and improved energy efficiency.
Researchers developed an algorithm to simulate molecular dynamics of patchy particles, which are made up of a rigid body with only two charged patches. The findings provide new insights into what makes biological entities like protein/DNA combinations self-assemble.
Researchers have used novel infrared laser techniques to study methane scattering on a nickel surface with full quantum-state resolution. This breakthrough allows for the observation of vibrational energy redistribution during surface scattering, which can be tested by state-of-the-art quantum theories.
Researchers at OIST have developed a simple way to create copper molecular wires of different lengths by adding or removing copper atoms one by a time. This breakthrough could lead to the creation of miniature computing devices and practical applications in microelectronics.
Scientists at the U.S. Army Research Laboratory have discovered poly(urethane urea) elastomers that exhibit hyperelastic behavior, becoming extremely stiff and bouncing back after high-speed impacts. This could lead to new designs for military armor, such as enhanced combat helmets.
Researchers at KAUST have overturned the long-held assumption that DNA molecules move randomly by analyzing their motion using a probabilistic approach. They found that DNA molecules exhibit nonrandom motion with varied speed and molecular 'track', precisely conserving Brownian linear MSD characteristics.
Researchers have developed a new framework to study osmosis and diffusio-osmotic flow, which can accurately predict behavior in various industrial and medical applications. The findings provide a unified approach to understanding these phenomena, enabling the estimation of effects on liquid transport across nano-porous membranes.
Researchers from North Carolina State University have demonstrated that integrating molecular dynamics simulations and machine learning techniques can create more accurate computer prediction models. The new models, called 'hyper-predictive,' can quickly predict which new chemical compounds could be promising drug candidates. This is a...
Scientists used molecular dynamics to visualize the working of Photosystem II and discovered three channels for plastoquinone entry and exit, contradicting previous assumptions. The study provides new insights into the complex process of converting photons into electrons.
A recent study published in eLife provides a deeper understanding of p38α's structure and activation mechanism. The research reveals novel conformations that could be used to uncover new inhibitors, as well as important electrostatic interactions that may allow for alternative activation pathways with increased specificity.
Researchers at Dartmouth College have developed a 3D printing method to transform microscopic nanorings into smart materials that perform work at human-scale. The new technique enables the creation of complex smart devices beyond current grasp, with potential applications in soft robots and other tasks.
A team of researchers identified three distinct regimes of slip phenomena and their underlying molecular mechanisms. The study reveals how polymer chains interact with the interface, affecting the material's properties.
University of North Texas researchers used Maverick supercomputer to perform the first all-atom molecular dynamics simulations of Cas9-catalyzed DNA cleavage. The simulations provided insight into the Cas9 enzyme's active state and resolving controversies about its cutting process.
Researchers have created a quantum simulator that can simulate the dynamics of many electrons interacting with each other within one billionths of a second. This ultrafast quantum simulator will serve as a basic tool to investigate the origin of physical properties of matter, including magnetism and superconductivity.
Researchers at ICFO have successfully imaged molecular bond breakup in acetylene using ultrafast mid-IR laser source and reaction microscope. The team observed a proton escaping the molecule, providing unprecedented insight into chemical reactions.
Researchers found that anti-DNA antibodies preferentially bind to damaged double-stranded DNA (dsDNA) over native DNA, contributing to the pathogenesis of autoimmune diseases. This study provides mechanistic insight into the formation and properties of pathogenic anti-DNA antibodies.
Researchers at HKUST elucidated the dynamics of backtracking in RNA polymerase II, revealing a stepwise process that detects mis-incorporated RNA and corrects errors. The study provides insight into fundamental mechanisms of transcription and may help understand human diseases and aging related to transcription infidelity.
Researchers used supercomputing to simulate protein motion over a huge range of timescales, revealing self-similar dynamics and out-of-equilibrium phenomenon. This breakthrough has significant implications for advancing energy and medical sciences.
Researchers developed an RNA dynamics model using beads and springs, achieving accurate predictions comparable to Molecular Dynamics simulations. The model's simplicity allows for near real-time processing and may be a viable alternative to expensive computer simulation methods.
Researchers used supercomputers to analyze a biomolecular interaction that behaves like a Chinese Finger Trap puzzle. The study identified the nature of cellulosomal proteins' adhesion complex, showing extreme resistance to force, and boosted efforts to develop catalysts for biofuel production from non-food waste plants.
The Air Force Office of Scientific Research has awarded approximately $16.6 million in grants to 57 young investigators from research institutions across the US. The recipients will conduct basic research in areas such as dynamical systems, quantum processes, and energy, with a focus on advancing the Air Force mission.
Researchers at Scripps Research Institute and UC San Diego create microfluidic device to rapidly heat and cool biomolecules, allowing for the observation of rapid folding events. This breakthrough enables the study of normal and abnormal biomolecules, including those implicated in human diseases.
Researchers used X-ray laser to capture PYP photocycle with atomic spatial resolution and ultrafast temporal resolution. The study revealed finer details of the cycle, including steps shorter than 1 picosecond.
Scientists have developed a new technique to capture the fast dynamics of biomolecules using high-speed X-ray lasers, revealing subtle processes with unprecedented clarity. The study used the photoactive yellow protein as a model system and achieved snapshots of molecular movements at atomic resolution.
Researchers used RIXS to investigate liquid alcohols and found that split peaks originate from nuclear dynamics during the scattering process. This new understanding extends the technique's utility for studying complex materials.
A team of scientists has found that water molecules form a 'funnel' around proteins, guiding them to potential binding partners. This collective water movement assists binding and supports the mutual recognition of biomolecules, allowing them to select or reject certain partners.
Researchers from UCI capture moving images of a single molecule as it vibrates and shifts between quantum states, opening a window into the realm of quantum mechanics. This breakthrough could lead to applications such as lightning-fast quantum computers and uncrackable encryption.
Researchers developed a methodology for describing dynamic sugar chain behaviors at atomic resolution, enabling the characterization of minor but biologically relevant conformational species. This breakthrough opens doors to observing flexible biomolecules as potential drug targets.
Researchers used molecular dynamics simulations and integral equation theoretical calculations to study the phase separation of active and passive particles. The introduction of activity was found to enhance phase separation in some cases, contrary to previous assumptions.
Scientists used the world's most powerful X-ray laser to take snapshots of individual free molecules, overcoming hurdles in imaging single molecules. The technique enables the study of ultra-fast molecular dynamics with unprecedented precision and detail.
ORNL researchers used supercomputers to simulate a molecular switch in a receptor that controls cell behavior, revealing its role in signaling processes. The discovery has significant implications for understanding cellular functions and developing new treatments for diseases.
Researchers propose a new spatio-temporal model to investigate molecular cloud fluctuations and their pulsational dynamics. The model takes into account nonlinear gravito-electrostatic coupling, helping elucidate basic features of cloud collapse, star formation, and galactic structures.
Researchers at SISSA have devised a trick to speed up the analysis of protein dynamics using computer simulations. By exploiting experimental data and mathematical rules, they reduce simulation times by an order of magnitude, allowing for faster research in this field.
Active transporters in cells, which facilitate nutrient entry, have been found to be leaky and allow water to pass through. This discovery suggests a universal behavior among all active membrane transporters, with large structural changes causing leaks during movement of substrates.
Researchers developed a basic computer model of the nucleosome to identify the sliding mechanism of nucleosomes along the DNA. This mechanism supports the idea of a second genetic code, previously suggested in 2006, which consists of a mechanical code written within the base pair sequence.
Computer simulations face challenges when applied to systems of finite size, such as those in crystal or liquid crystals. Additionally, some methods may not accurately compute thermal properties like entropy.
A new method of monitoring protein molecules using gold nanoparticles has been developed by scientists at Johannes Gutenberg University Mainz. The technique allows for the detection of individual unlabeled proteins, providing insights into molecular processes and dynamics.