Articles tagged with Chemical Modeling
Researchers at Texas A&M University develop a laser technique called TRIP to directly measure quantum forces shaping proteins, enabling accurate prediction of how pharmaceutical drugs interact with them. This breakthrough could lead to the design of medicines tailored to specific diseases, revolutionizing precision medicine.
A new study uses AI to identify promising chemical compounds that could develop into effective antibiotics against multi-drug resistant Neisseria gonorrhoeae. The approach has the potential to address the growing crisis of antimicrobial resistance in this fast-evolving pathogen.
PFAS contamination is linked to wastewater discharges and local industrial sources, but airborne transport may carry chemicals across long distances before returning to Earth. The research team identifies possible source regions and better understand how weather and atmospheric transport influence PFAS contamination.
Three young scientists in Israel have been awarded the prestigious Blavatnik Awards for their innovative research in chemistry, cancer biology, and astrophysics. Sergey Semenov, Uri Ben-David, and Paz Beniamini will each receive US$100,000 to advance their projects on complex materials, cancer treatments, and extreme cosmic events.
Complex systems exhibit emergent properties due to water's unique polarity, enabling DNA to store information and proteins to adopt specific structures. This order forms the basis for complex molecules to develop unpredictable properties, driving the evolution of life.
A computational protocol has been established by University of Kent researchers to accurately identify reactions that can result in successful drug candidates for Chagas disease. This approach reduces the need for trial-and-error, prioritizing promising compounds earlier and making the drug discovery process faster and more affordable.
Researchers have created a new AI model that can simulate molecules under extreme conditions, allowing for reliable discoveries in fields like drug development and sustainable chemistry. The model's stability opens up new opportunities for simulations in areas where long-term accuracy is essential.
Researchers from CASUS at HZDR developed a reliable computational framework to study polyheptazine imides' electronic and optical properties. This work confirms the potential of these materials for photocatalytic reactions, including water splitting and carbon dioxide reduction.
Scientists at the University of Delaware discovered a previously unknown structural role for the HIV integrase protein, which forms gluey filaments that anchor the RNA genome to the capsid. This discovery provides a promising new target for drug development and could lead to the development of next-generation inhibitors.
Researchers discovered that a significant drop in calcium levels in the ocean led to a massive decrease in carbon dioxide, driving global cooling and ending the planet's greenhouse era. The study suggests that changes in seawater chemistry played a key role in shaping climate history.
Researchers at Harvard John A. Paulson School of Engineering and Applied Sciences quantify the role of climate change in wildfires and air quality, finding that 60-82% of total burned area in western US forests is directly attributable to warming temperatures and drier conditions caused by climate change.
A study published in Science Advances found that unusually large particles of wildfire smoke had a significant cooling effect on the region they were observed in, increasing outgoing radiation by 30-36% compared to smaller smoke particles. This effect has not been included in current climate models.
Researchers at Chalmers University of Technology have developed a new material that uses metal-organic frameworks to physically injure and kill bacteria, preventing biofilm formation without antibiotics or toxic metals. This innovation eliminates the risk of antibiotic resistance and has potential applications in various industries.
Researchers developed a machine learning-based workflow, SPaDe-CSP, to predict crystal structures of organic molecules. The workflow narrows the search space by predicting probable space groups and crystal densities before computationally intensive relaxation steps.
Researchers at CARS create detailed maps of chemical reactivity, discovering regions of unexpected outcomes and reconstructing intricate reaction networks. This new understanding enables control over the formation of different major products from a set of starting materials.
Biomedical engineers at Duke University developed a platform combining automated wet lab techniques and AI to design nanoparticles for drug delivery. The TuNa-AI platform resulted in a 42.9% increase in successful nanoparticle formation compared to standard approaches.
Researchers at Kaunas University of Technology (KTU) have developed new generation polymers made from renewable raw materials, with unique properties such as self-healing, shape memory, and antimicrobial effects. These sustainable solutions can be applied in various fields including medicine, electronics, and optics.
Researchers found that strong wave breaking along shorelines produces significant amounts of sea spray aerosols, increasing cloud condensation nuclei and aerosol mass concentration. This can lead to gross overestimations of sea spray aerosols in open oceans using coastal measurements.
Researchers at UMBC developed a new way to predict 2D materials that could transform the electronics industry. Using a mix of data mining, computer modeling, and structural analysis, they predicted 83 possible new materials with desirable properties.
A USC-developed shipboard system using limestone and seawater can remove up to half of carbon dioxide emitted from shipping vessels, cutting maritime CO2 emissions by 50%. The process mimics a natural chemical reaction in the ocean, where CO2 is absorbed into water pumped onboard and then neutralized through a bed of limestone.
Researchers developed a new framework that connects molecular scale processes with reactor-scale models for catalytic depolymerization of plastics. The findings offer a powerful tool for designing catalyst architectures and identifying reaction conditions to boost selectivity of value-added products.
Longer winter sea ice duration is associated with a 20% increase in atmospheric CO2 absorption by the Southern Ocean. Sea ice protects the ocean from strong winds, allowing it to absorb more CO2 during winter.
Researchers developed a machine learning framework that can predict how materials respond to electric fields up to a million atoms, accelerating simulations beyond quantum mechanical methods. This allows for accurate, large-scale simulations of material responses to various external stimuli.
Scientists successfully simulated real chemical interactions with light, marking a major breakthrough in applying quantum computing to chemistry and medicine. This achievement holds promise for understanding complex light-driven phenomena, such as photosynthesis and cancer research.
Scientists create two innovative electrolysis systems that use urea found in urine and wastewater to produce green hydrogen at a lower cost than traditional methods. The breakthrough overcomes limitations such as toxic by-products and corrosion issues, paving the way for scalable production.
Researchers developed a new model called React-OT that can predict the transition state of chemical reactions in under a second with high accuracy. The model uses linear interpolation to generate better initial guesses, reducing the number of steps and computation time needed.
Researchers have modeled the chemistry of TOI-270 d, an exoplanet between Earth and Neptune, finding evidence for a thick, hot atmosphere. The study suggests that the planet is unlikely to be habitable, but offers insights into alternative paths of planetary origins and evolution.
Kyushu University researchers have successfully recreated the fluid dynamics of flowing biological cells using numerical simulations. The study reveals that capsule position depends on deformation and pulsation frequency, enabling precise cell manipulation in research and potential applications in artificial heart development.
A new web platform, AutoSolvateWeb, developed at Emory University enables chemists of all levels to configure and execute complex quantum mechanical simulations through chatting. The free platform uses cloud infrastructure and automates software processes on the backend.
Researchers have made a breakthrough in decoding the growth process of Hexagonal Boron Nitride (hBN), a 2D material with unique versatility. The findings reveal the formation of nanoporous hBN, expanding its potential environmental applications, including sensing and filtering pollutants.
The 26th Nagoya Medal of Organic Chemistry will be held on January 24th, 2025, with gold medalist Professor Alois Fürstner presenting lectures on catalysis and metal-carbene chemistry. Silver medalist Professor Masayuki Inoue will discuss total synthesis of highly oxygenated natural products.
A new simulation method has been introduced to investigate the Earth's core, revealing significant effects of magnetism on material properties. The approach combines molecular dynamics and spin dynamics, using machine learning to determine force fields with high precision.
Researchers at Colorado State University have developed a new method to break down PFAS, a group of human-made 'forever' chemicals. The system uses an LED light-based photocatalytic approach that can be used at room temperature, offering a more sustainable and efficient solution than traditional chemical manufacturing processes.
SwRI researchers developed a tool to model environments expected on icy moons, accounting for organics and predicting conditions for microbial life. The project aims to constrain environmental factors and provide valuable information about ocean worlds.
The University of Birmingham and DEFRA's Hazardous Substances Advisory Committee have published new recommendations for improving chemical testing. The report suggests that the UK can adopt a risk-based approach to regulation, using New Approach Methodologies (NAMs), to reduce animal testing and improve safety assessments.
Physicists at European XFEL have made comprehensive observations of ionisation processes in warm dense matter. The team observed how quickly copper transforms into the exotic state of ionised WDM to become transparent to X-rays.
Researchers discovered that just eight new biochemical reactions can bridge the gap between simple geochemistry and biochemistry, indicating a limited loss of biochemistry to time. This finding suggests that even extinct reactions can be rediscovered from clues left behind in modern biochemistry.
Researchers at Saarland University have successfully synthesized the world's first 'heterobimetallic' sandwich complex, containing two different metal atoms. The discovery expands the class of sandwich molecules, which play a crucial role in industry and are being studied for their potential applications.
Researchers at Insilico Medicine developed COSMIC, a new framework for molecular conformation space modeling that provides accurate insights into molecule positioning and activity. This enables faster and more efficient drug design decisions.
A new statistical-modeling workflow can quickly identify molecular structures of products formed by chemical reactions, accelerating drug discovery and synthetic chemistry. The workflow also enables the analysis of unpurified reaction mixtures, reducing time spent on purification and characterization.
Researchers at Carnegie Mellon University have created a new machine learning model that can simulate reactive processes in diverse organic materials and conditions. The model, called ANI-1xnr, performs simulations with significantly less computing power and time than traditional quantum mechanics models.
Researchers propose new statistical index to detect river ecosystem changes, potentially preventing tragedies like the Oder River crisis. The developed index is more versatile and responsive to variations in individual parameter values.
A Swiss-Polish team has found the answer to why previous attempts to use magnesium hydride for efficient hydrogen storage failed. The researchers developed a new model that predicts local, thermodynamically stable clusters are formed in magnesium during hydrogen injection, reducing hydrogen ion mobility.
Researchers at Purdue University developed a new tool to visualize neural network decisions, making it easier to identify errors in image recognition. The tool uses graph-topological data analysis to provide a bird's-eye view of all images in a database, revealing areas where the network struggles to distinguish between classifications.
Scientists have developed a new, efficient ethanol catalyst made from copper nanoparticles, which is cheaper than platinum and could increase the potential of ethanol fuel cells. The catalyst was created through laser melting and shows great promise for improving ethanol oxidation.
A new computational approach enables the design of molecules with targeted quantum-mechanical properties, finding that most properties are only weakly correlated among small molecules. The 'freedom of design' concept reveals an intrinsic flexibility in chemical compound space, allowing for simultaneous optimization of multiple properties.
Associate Professor Tadashi Ando from Tokyo University of Science conducted a study to test the performance of OPC and OPC3 water models, evaluating their shear viscosities and comparing values to experimental calculations. The calculated viscosities for both models were very close, with notable accuracy at temperatures above 310 K.
Researchers have proposed an explanation for the ion-specific properties of ion hydration in water-based solutions, revealing that ions with lower charge density interact with more water molecules. This result has broad applications across multiple disciplines, including chemistry, biology, and materials science.
A team of researchers developed a novel computational approach to identify allosteric sites in integrins, revealing previously inaccessible druggable pockets. This breakthrough has the potential to overcome limitations in integrin-targeting medication and open new avenues for drug discovery.
Kolomeisky aims to develop analytical models that quantify the role of heterogeneity in chemical and biological processes. He plans to explore its impact on catalytic reactions, antimicrobial peptides and early cancer development.
A team of researchers from China and the UK has developed new ways to optimise the production of solar fuels by creating novel photocatalysts. These photocatalysts, such as titanium dioxide with boron nitride, can absorb more wavelengths of light and produce more hydrogen compared to traditional methods.
The new Collaborative Research Center will explore opportunities of defect engineering in soft matter, aiming to develop a novel design concept. The researchers will focus on doping, connectivity, and topological defects, with the ultimate goal of combining them into one single system.
A new model of DNA flexibility has been developed, providing results of unprecedented quality and characterizing precision and efficiency at the computational level. The study presents a systematic and comprehensive analysis of DNA movement correlations and introduces a new method to capture them.
A team led by Professor Yoshihiro Yamazaki from Kyushu University discovered the chemical innerworkings of a perovskite-based electrolyte developed for solid oxide fuel cells. By combining synchrotron radiation analysis, large-scale simulations, machine learning, and thermogravimetric analysis, they found that protons are introduced at...
Scientists at the University of Innsbruck have successfully measured tunneling reactions in molecular chemistry, confirming a precise theoretical model. The experiment used hydrogen and deuterium isotopes to demonstrate the quantum mechanical tunnel effect in a slow ion-molecule reaction.
Researchers utilized the Chemistry42 platform to generate novel molecular structures and identified a hit molecule for CDK20, a promising target for hepatocellular carcinoma. The platform's customizable reward function and generative models enabled efficient design and optimization of molecules.
Researchers at Nagoya University have identified 2,6-dihalopurines as a new class of stomatal opening inhibitors, potentially involving LRX3-5 and RALF peptide. This discovery may lead to the development of new agrochemicals and chemical biology research applications.
Researchers successfully applied AlphaFold AI to an end-to-end platform, discovering a novel target and developing a potent hit molecule for liver cancer. The study demonstrates the potential of AI-powered drug discovery to accelerate treatment development.
Researchers modeled how genetic changes affecting protein synthesis speed can lead to misfolding and altered activity levels in proteins. This finding suggests the importance of kinetics alongside sequence for determining protein structure and function, with potential implications for fields such as biopharmaceutics and medicine.
A new study has resolved the first molecular steps of particle formation from iodine emissions, a crucial process in atmospheric secondary particles. The research team found that iodine plays a significant role in forming clouds, providing a key piece in understanding the changing atmosphere.