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University of Ottawa-led study uncovers hidden network fueling brain cancer's aggressive growth; discovery could help dismantle treatment resistance

A University of Ottawa-led study has discovered a hidden network driving glioblastoma's aggressive growth, highlighting a promising target for next-generation therapies. The research reveals that a protein called OSMR plays a critical role in tumor progression and supports the survival of brain tumour stem cells.

SourceUniversity of Ottawa·JournalSignal Transduction and Targeted Therapy·TypeData/statistical analysis·DateJun 9, 2026

Cracking the code of p53 fragility: Why the genome guardian is prone to failure

Researchers identify energetic frustration in p53's sequence as a key factor in its fragility. The study shows that p53's flexibility comes at a high cost, allowing it to perform roles but making it prone to misfolding and aggregation. This knowledge offers a roadmap for cancer treatment by targeting specific regions sensitive to water.

SourceInstituto Nacional de Ciência e Tecnologia de Biologia Estrutural e Bioimagem (INBEB)·JournalCommunications Chemistry·TypeImaging analysis·DateMay 19, 2026

Scientists develop ultra‑robust machine‑learning models capable of stable molecular simulations at extreme temperatures

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.

SourceUniversity of Manchester·JournalCommunications Chemistry·TypeComputational simulation/modeling·DateMar 31, 2026

From experience-based simulations to predictive science

Researchers propose a new design principle for QM/MM simulations, enabling the objective and automatic determination of the quantum-mechanical region based on electronic-state changes. This approach addresses long-standing challenges in multiscale molecular simulations, demonstrating consistent applicability across different systems.

SourceChuo University·JournalAdvanced Science·TypeComputational simulation/modeling·DateJan 26, 2026

More efficient molecular motor widens potential applications

Researchers have created a more efficient light-driven molecular motor, which can be used for various applications such as controlling molecular self-assembly and creating chiral dopants in liquid crystals. The new design also enables the motor to work more efficiently in medical applications due to its longer wavelength absorption.

SourceUniversity of Groningen·JournalNature Chemistry·TypeExperimental study·DateApr 26, 2024

How scientists are accelerating chemistry discoveries with automation

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.

SourceDOE/Lawrence Berkeley National Laboratory·JournalJournal of Chemical Information and Modeling·TypeData/statistical analysis·DateApr 8, 2024

The little things matter: Chemists develop new sensor for microvolume pH detection

Researchers at Xi'an Jiaotong-Liverpool University have developed a sensitive and robust pH sensor that can detect pH variation in just a few microliters of samples. The new sensor uses novel materials and methods to overcome the current method's limitations, which are not sensitive enough or fragile for commercial-scale use.

SourceXi'an Jiaotong-Liverpool University·JournalMicrochimica Acta·TypeExperimental study·DateNov 3, 2023

Much ado about nothing: Insights into designing advanced stimuli-responsive materials

Researchers from Japan have solved a long-standing puzzle of porous soft materials, revealing the importance of elastic heterogeneity in tuning molecular adsorption/desorption properties. The study provides physicochemical insight into the origin of elastic heterogeneity within MOFs, with applications to imparting targeted properties.

SourceInstitute of Industrial Science, The University of Tokyo·JournalProceedings of the National Academy of Sciences·DateJul 19, 2023

Investigating interactions at molecular junctions for novel electronic devices

A recent study by Tokyo Tech researchers explores the structure and electron transport properties of molecular junctions. The findings reveal three distinct structures at the junction, corresponding to high- and low-conductivity states, which hold promise for designing novel electronic devices with unique properties.

SourceTokyo Institute of Technology·JournalJournal of the American Chemical Society·TypeExperimental study·DateJul 12, 2023

Atomic flow of nanojoints in the Ag nanowires interconnect network for flexible electronics and transparent electrode industry

The study investigates the atomic flow behavior during joint formation, exploring processing time, temperature, and stress distribution on nanojoints. The results reveal that local stress and capillary interactions significantly impact joint quality, leading to advances in industrial applications of Ag nanowire interconnect networks.

SourceInternational Journal of Extreme Manufacturing·JournalInternational Journal of Extreme Manufacturing·DateMar 27, 2023

CNIC scientists discover a new mechanism involved in the modulation of heart muscle elasticity

Researchers have identified a new mechanism involving the oxidation of cysteines in titin protein that modulates cardiac stiffness and dynamics. This discovery sheds light on how the heart adapts to various situations and responds to oxidative balance disorders.

SourceCentro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P.)·JournalRedox Biology·TypeExperimental study·DateApr 27, 2022

Boxing up molecular machines

A team of scientists successfully constructed a supramolecular rotor inside a hollow cube-shaped zinc(II)-metallated porphyrinic cage (Zn-PB) molecule. The addition of a chemical stimulant initiates both rotary and tumbling motions, controlled by external stimuli.

SourceInstitute for Basic Science·JournalChem·TypeExperimental study·DateJan 18, 2022

MTU engineers clean up water pollution with sunlight

Michigan Tech researchers developed a model to calculate how particular chemicals break down in surface water using singlet oxygen, which degrades contaminants and helps protect our waterways. The study's findings can aid environmental engineers and scientists in estimating half-lives of chemicals and predicting their degradation rates.

SourceMichigan Technological University·JournalEnvironmental Science & Technology·TypeComputational simulation/modeling·DateAug 10, 2021

Researchers improve bonding in mechanically linked molecules

Researchers have improved the bonding in mechanically linked molecules by developing a method to increase the association constant of host-guest interactions, allowing for longer self-assembled chains. By utilizing hydrogen bonding instead of covalent chemistry, they were able to overcome the difficulty of creating rigid macrocycles.

Bonds strengthened on mechanically linked molecules

Researchers at Virginia Tech have developed a new cryptand compound that forms stronger non-covalent bonds than traditional host crown ethers. The improved association constants enhance the recognition and attraction between host and guest molecules, paving the way for potential applications in medicine.