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Accurate assessment of configurational entropy remains a large challenge in biology. While many methods exist to calculate configurational entropy, there is a balance between accuracy and computational demands. Here we calculate ligand and protein conformational entropies using the Boltzmann-quasiharmonic (BQH) method, which treats the first-order entropy term by the Boltzmann expression for entropy while determining correlations using the quasiharmonic model. This method is tested by comparison with the exact Clausius expression for entropy on a range of test molecules ranging from small ligands to a protein. Using the BQH method, we then analyze the rotational and translational (R/T) entropy change upon ligand binding for five protein complexes to explore the origins of extremely tight affinity. The results suggest that in these systems such affinity is achieved by a combination of simultaneously maintaining good protein-ligand contacts while allowing significant residual R/T motion of the ligand through suitable protein motions.
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http://dx.doi.org/10.1021/jp111176x | DOI Listing |
Chem Sci
September 2025
College of Chemistry and Materials Engineering, Wenzhou University Wenzhou Zhejiang 325035 P. R. China
Sodium-ion batteries (SIBs) are promising alternatives to lithium-ion batteries (LIBs) owing to abundant resources and cost-effectiveness. However, cathode materials face persistent challenges in structural stability, ion kinetics, and cycle life. This review highlights the transformative potential of high-entropy (HE) strategies that leveraging multi-principal element synergies to address these limitations entropy-driven mechanisms.
View Article and Find Full Text PDFNat Mater
September 2025
Department of Physics and Organic and Carbon Electronics Laboratories (ORaCEL), North Carolina State University, Raleigh, NC, USA.
The number of polymeric and small-molecular acceptors for organic photovoltaics has exploded in the past decade. As a result, physical insights and efforts aiming at elucidating the coupling between composition and behaviour are required more than ever. Here we present an encompassing study into the phase behaviour of 55 polymer:small-molecular acceptor blends, pivotal in determining device performance and stability.
View Article and Find Full Text PDFBiol Psychiatry
September 2025
Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, China. Electronic address:
Background: Major depressive disorder (MDD) has been increasingly understood as a disorder of network-level functional dysconnectivity. However, previous brain connectome studies have primarily relied on node-centric approaches, neglecting critical edge-edge interactions that may capture essential features of network dysfunction.
Methods: This study included resting-state functional MRI data from 838 MDD patients and 881 healthy controls (HC) across 23 sites.
ACS Appl Mater Interfaces
September 2025
Department of Chemical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.
High-entropy oxides (HEOs) offer tunable redox chemistry and thermal stability for catalytic applications. Here, we compare two spinel-type HEOs, MnFeCoNiCuO and MnCoNiCuZnO, with similar configurational entropy but different redox behaviors under reverse water-gas shift (RWGS) conditions. Only MnFeCoNiCuO exhibits reversible exsolution and reincorporation of Fe/Co/Ni/Cu alloy nanoparticles (NPs) during H-CO cycling, as confirmed by in situ X-ray absorption spectroscopy and wavelet-transformation.
View Article and Find Full Text PDFMater Horiz
September 2025
Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore.
CO electroreduction is limited by linear scaling relationships that couple the stabilities of key intermediates (*COOH, *CHO) to CO adsorption, placing pure Cu catalysts at a volcano-plot ceiling of activity and selectivity. Here, we harness the compositional variety of nanosized AgAuCuPdPt high-entropy-alloy (HEA) particles to break these constraints. We trained an ultralight linear-regression surrogate (MAE ≈ 0.
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