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Ultrafast hydrogen bond dynamics of liquid water revealed by THz-induced Kerr effect

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.

High-speed atomic video

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.

SourceUniversity of Tokyo·JournalBulletin of the Chemical Society of Japan·DateJun 4, 2020

A new scientific instrument for the nation

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.

Supercomputing the emergence of material behavior

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...

Simulations document self-assembly of proteins and DNA

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.

SourceSpringer·JournalThe European Physical Journal E·DateMar 28, 2018

Molecular dynamics, machine learning create 'hyper-predictive' computer models

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...

SourceNorth Carolina State University·JournalJournal of Chemical Information and Modeling·DateMay 15, 2017

3-D printing turns nanomachines into life-size workers

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.

SourceDartmouth College·JournalAngewandte Chemie·DateMar 22, 2017

Anti-DNA antibody prefers damaged dsDNA over native

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.

SourceKazan Federal University·JournalJournal of Biomolecular Structure and Dynamics·DateJun 3, 2016

RNA springs

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.

SourceInternational School of Advanced Studies (SISSA)·JournalNucleic Acids Research·DateJul 17, 2015

'Funnel' attracts bonding partners to biomolecule

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.

SourceRuhr-University Bochum·JournalJournal of the American Chemical Society·DateSep 24, 2014

Pulsating dust cloud dynamics modeled

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.

SourceSpringer·JournalThe European Physical Journal D·DateSep 12, 2013

How proteins read meta DNA code

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.

SourceSpringer·JournalThe European Physical Journal E·DateMar 19, 2013

Simulations' Achille's heel

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.

SourceSpringer·JournalThe European Physical Journal Plus·DateJan 29, 2013