Probing micro-solvation in “numbers”: the case of neutral dipeptides in water
文献信息
Panteleimon G. Takis, Konstantinos D. Papavasileiou, Loukas D. Peristeras, Vasilios S. Melissas, Anastassios N. Troganis
How many solvent molecules and in what way do they interact directly with biomolecules? This is one of the most challenging questions regarding a deep understanding of biomolecular functionalism and solvation. We herein present a novel NMR spectroscopic study, achieving for the first time the quantification of the directly interacting water molecules with several neutral dipeptides. Our proposed method is supported by both molecular dynamics simulations and density functional theory calculations, advanced analysis of which allowed the identification of the direct interactions between solute–solvent molecules in the zwitterionic L-alanyl-L-alanine dipeptide–water system. Beyond the quantification of dipeptide–water molecule direct interactions, this NMR technique could be useful for the determination and elucidation of small to moderate bio-organic molecular groups' direct interactions with various polar solvent molecules, shedding light on the biomolecular micro-solvation processes and behaviour in various solvents.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.














