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The disordered nature of Intrinsically Disordered Proteins (IDPs) makes their structural ensembles particularly susceptible to changes in chemical environmental conditions, often leading to an alteration of their normal functions. A Radial Distribution Function (RDF) is considered a standard method for characterizing the chemical environment surrounding particles during atomistic simulations, commonly averaged over an entire or part of a trajectory. Given their high structural variability, such averaged information might not be reliable for IDPs. We introduce the Time-Resolved Radial Distribution Function (TRRDF), implemented in our open-source Python package SPEADI, which is able to characterize dynamic environments around IDPs. We use SPEADI to characterize the dynamic distribution of ions around the IDPs Alpha-Synuclein (AS) and Humanin (HN) from Molecular Dynamics (MD) simulations, and some of their selected mutants, showing that local ion-residue interactions play an important role in the structures and behaviors of IDPs.
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http://dx.doi.org/10.3390/biology12040581 | DOI Listing |
Langmuir
September 2025
School of Resources and Safety Engineering, Chongqing University, Chongqing 400044, China.
Hydrogen energy is pivotal for driving sustainable development and achieving deep decarbonization; yet, its storage remains a significant challenge. Notably, depleted methane reservoirs can serve as a promising large-scale solution for underground hydrogen storage (UHS). Based on adsorption experiments, Monte Carlo and molecular dynamics methods, the adsorption behavior of H and CH in anthracite and the applicability of five models were discussed.
View Article and Find Full Text PDFJDS Commun
September 2025
Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.
The objective of this observational study was to describe the association between lag time from calving to first milking for colostrum harvest. Colostrum samples from primiparous and multiparous Holstein cows (n = 640) from a single herd milking approximately 5,200 cows 3 times daily in a 100-stall rotary parlor were used in this prospective cohort study. Calves were removed immediately after calving and not allowed to suckle their dam.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Chemistry, Chicago Center for Theoretical Chemistry, Institute for Biophysical Dynamics, and James Franck Institute, The University of Chicago, 5735 S. Ellis Ave., SCL 123, Chicago, Illinois 60637, USA.
Molecular dynamics simulations are essential for studying complex molecular systems, but their high computational cost limits scalability. Coarse-grained (CG) models reduce this cost by simplifying the system, yet traditional approaches often fail to maintain dynamic consistency, compromising their reliability in kinetics-driven processes. Here, we introduce an adversarial training framework that aligns CG trajectory ensembles with all-atom (AA) reference dynamics, ensuring both thermodynamic and kinetic fidelity.
View Article and Find Full Text PDFWorld Neurosurg
September 2025
Division of Neurosurgery, Department of Neurological Sciences, Università degli Studi di Napoli Federico II, Naples, Italy.
We present a case of third ventricle colloid cyst surgical resection using a tubular-based endoscopic transcortical approach. Third ventricle colloid are rare benign lesions typically found in the anterolateral part of the third ventricle, close to the foramen of Monro. Several surgical approaches have been employed for their management.
View Article and Find Full Text PDFJ Phys Chem B
September 2025
Zhejiang Key Laboratory of Data-Driven High-Safety Energy Materials and Applications, Ningbo Key Laboratory of Special Energy Materials and Chemistry, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
This study developed a high-precision deep potential (DP) model based on density functional theory (DFT) and the DP-GEN workflow to efficiently simulate the microscopic structures and thermophysical properties of LiF-NaF-KF molten salt systems with varying compositions. Through iterative optimization of the training data set using the DP-GEN active learning strategy, our DP model demonstrated excellent agreement with DFT calculations in predicting energies, forces, and stresses. Leveraging this model, we systematically investigated the local structures and properties of 22 FLiNaK molten salt compositions, including radial distribution functions (RDFs), coordination numbers (CNs), density (ρ), heat capacity (), self-diffusion coefficients (SDCs), electrical conductivity, and shear viscosity.
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