Rigorous analysis of the interaction between proteins and low water-solubility drugs by qNMR-aided NMR titration experiments

文献信息

发布日期 2021-09-17
DOI 10.1039/D1CP03175A
影响因子 3.676
作者

Takuya Hirakawa, Erik Walinda, Daichi Morimoto, Kenji Sugase


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摘要

Drugs are designed and validated based on physicochemical data on their interactions with target proteins. For low water-solubility drugs, however, quantitative analysis is practically impossible without accurate estimation of precipitation. Here we combined quantitative NMR with NMR titration experiments to rigorously quantify the interaction of the low water-solubility drug pimecrolimus with its target protein FKBP12. Notably, the dissociation constants estimated with and without consideration of precipitation differed by more than tenfold. Moreover, the method enabled us to quantitate the FKBP12–pimecrolimus interaction even under a crowded condition established using the protein crowder BSA. Notably, the FKBP12–pimecrolimus interaction was slightly hampered under the crowded environment, which is explained by transient association of BSA with the drug molecules. Collectively, the described method will contribute to both quantifying the binding properties of low water-solubility drugs and to elucidating the drug behavior in complex crowded solutions including living cells.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

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.

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