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Mechanically-interlocked molecules (MIMs) are at the basis of artificial molecular machines and are attracting increasing interest for various applications, from catalysis to drug delivery and nanoelectronics. MIMs are composed of mechanically-interconnected molecular sub-parts that can move with respect to each other, imparting these systems innately dynamical behaviors and interesting stimuli-responsive properties. The rational design of MIMs with desired functionalities requires studying their dynamics at sub-molecular resolution and on relevant timescales, which is challenging experimentally and computationally. Here, we combine molecular dynamics and metadynamics simulations to reconstruct the thermodynamics and kinetics of different types of MIMs at atomistic resolution under different conditions. As representative case studies, we use rotaxanes and molecular shuttles substantially differing in structure, architecture, and dynamical behavior. Our computational approach provides results in agreement with the available experimental evidence and a direct demonstration of the critical effect of the solvent on the dynamics of the MIMs. At the same time, our simulations unveil key factors controlling the dynamics of these systems, providing submolecular-level insights into the mechanisms and kinetics of shuttling. Reconstruction of the free-energy profiles from the simulations reveals details of the conformations of macrocycles on the binding site that are difficult to access routine experiments and precious for understanding the MIMs' behavior, while their decomposition in enthalpic and entropic contributions unveils the mechanisms and key transitions ruling the intermolecular movements between metastable states within them. The computational framework presented herein is flexible and can be used, in principle, to study a variety of mechanically-interlocked systems.
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http://dx.doi.org/10.1039/d3sc01593a | DOI Listing |
J Phys Chem B
September 2025
School of Science, RMIT University, Melbourne 3000, Australia.
Pentameric ligand-gated ion channels control synaptic neurotransmission via an allosteric mechanism, whereby agonist binding induces global protein conformational changes that open an ion-conducting pore. For the proton-activated bacterial () ligand-gated ion channel (GLIC), high-resolution structures are available in multiple conformational states. We used a library of atomistic molecular dynamics (MD) simulations to study conformational changes and to perform dynamic network analysis to elucidate the communication pathways underlying the gating process.
View Article and Find Full Text PDFACS Nano
August 2025
State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China.
Room-temperature multiferroic BiFeO (BFO) is a promising candidate for next-generation memory and spintronic devices, but its synthesis is hindered by metastability and complex phase evolution pathways. Achieving atomic-scale control over these pathways is critical for unlocking BFO's functional potential. Here, we integrate atomic-resolution scanning transmission electron microscopy, energy-dispersive X-ray spectroscopy and density functional theory to dissect the BFO formation mechanism using annealed Bi/Fe thin-film model systems.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
Lehrstuhl für Theoretische Chemie II, Ruhr-Universität Bochum, 44780 Bochum, Germany.
Ultrafast, time-resolved spectroscopies enable the direct observation of molecular dynamics in condensed-phase systems and have revealed key insights into energy transport, hydrogen-bond dynamics, and vibrational coupling. While ab initio molecular dynamics (AIMD) provides accurate, atomistic resolution of such dynamics, it becomes prohibitively expensive for non-equilibrium processes that require many independent trajectories to capture the stochastic nature of excitation and relaxation. To address this, we implemented a machine learning potential that incorporates time-dependent electric fields in a perturbative fashion, retaining AIMD-level accuracy.
View Article and Find Full Text PDFJ Am Chem Soc
August 2025
Max Plank Institute for the Science of Light, Staudtstr. 2, Erlangen 91058, Germany.
Over recent decades, the glycocalyx, an extracellular organelle composed of a multitude of glycolipids, glycoproteins, proteoglycans, and glycoRNA, has gained considerable interest in cellular biology. While research in this field has revealed its tremendous importance in ever more aspects of physiological and pathological cellular processes, many of the principles that govern the role of the glycocalyx in these processes on a molecular level are still unknown. In order to unravel the fundamental laws underlying glycocalyx function, new technologies are required that enable the distinction between individual subprocesses within the intricate environment of the glycocalyx.
View Article and Find Full Text PDFBiotechnol Adv
August 2025
Université de Reims Champagne-Ardenne, INRAE, FARE, UMR, A 614 Reims, France. Electronic address:
Lignocellulosic biomass (LB), which encompasses various plant samples, requires thorough characterization to optimize its use as a carbon resource. Chemical imaging simultaneously provides chemical and spatial information, offering significant benefits for LB analysis. This review presents an overview of the most advanced techniques for achieving this goal.
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