Elucidating Chirality Transfer in Liquid Crystals of Viruses

Study on Chirality Transfer in Liquid Crystal Viruses Chirality is a phenomenon commonly found in nature and holds significant influence in various fields such as biology, chemistry, physics, and materials science. However, the mechanism of chirality transfer from nanoscale building blocks to macroscopic helical structures remains an unsolved myste...

Accelerating Diabetic Wound Healing by ROS-Scavenging Lipid Nanoparticle–mRNA Formulation

Accelerating Diabetic Wound Healing by ROS-Scavenging Lipid Nanoparticle–mRNA Formulation

Utilization of Lipid Nanoparticles-mRNA Formulations to Eliminate ROS and Accelerate Diabetic Wound Healing Diabetic wounds are common complications in patients with hyperglycemia, characterized by high incidence and recurrence rates, causing substantial global economic losses. Existing treatments, including wound offloading and growth factor thera...

Targeting PRMT9-mediated arginine methylation suppresses cancer stem cell maintenance and elicits CGAS-mediated anticancer immunity

This study revolves around the protein arginine methyltransferase PRMT9, revealing its important role in acute myeloid leukemia (AML) and its potential as an anticancer target. Researchers found that PRMT9 expression levels were significantly elevated in AML stem cells and leukemic cells. Through gene editing and chemical probes, they discovered th...

Geometry-enhanced pretraining on interatomic potentials

Geometric Enhanced Pretraining for Interatomic Potentials Introduction Molecular dynamics (MD) simulations play an important role in fields such as physics, chemistry, biology, and materials science, providing insights into atomic-level processes. The accuracy and efficiency of MD simulations depend on the choice of interatomic potential functions ...

Equivariant 3D Conditional Diffusion Model for Molecular Linker Design

Equivariant 3D Conditional Diffusion Model for Molecular Linker Design

From early drug discovery researchers face a daunting challenge – to find drug-like candidate molecules among approximately 10^60 possible molecular structures. One successful solution is to start from smaller “fragment” molecules, a strategy known as fragment-based drug design (FBDD). In the FBDD process, the first step is to computationally scree...

Tandem mass spectrum prediction for small molecules using graph transformers

This is a paper about MassFormer, a graph transformer model for small molecule mass spectrometry prediction. This research addresses the problem of molecular identification in mass spectrometry data and proposes a novel deep learning approach to predict mass spectra of small molecules. Background: Mass spectrometry (MS) is an analytical technique w...

Targeted Activation of Ferroptosis in Colorectal Cancer via LGR4 Targeting Overcomes Acquired Drug Resistance

Overcoming Acquired Resistance in Colorectal Cancer by Targeting LGR4 Research Background: Acquired drug resistance is a major obstacle in cancer treatment and a leading cause of cancer-related deaths. However, the mechanisms of resistance are diverse, and how to specifically target resistant cancer cells remains a significant clinical challenge. A...

Assessing the contribution of the chemical exposome to neurodegenerative disease

Assessing the contribution of the chemical exposome to neurodegenerative disease

Assessing the Risks of Chemical Exposures for Neurodegenerative Diseases Introduction In recent years, many environmental chemicals, from solvents to pesticides, have been implicated in the development and progression of neurodegenerative diseases. However, a systematic approach akin to genome-wide association studies, which have identified dozens ...