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Molecular dynamics models combined with computational approaches can be used as advanced screening techniques for finding highly efficient material-molecule interactions based on binding affinity, including in the development of gas sensors. However, most models are originally designed for liquid phase interactions, which do not align with gas sensing conditions, resulting in lower-than-expected performance. This study introduces an empirical modification method to adjust peptide interaction models for a gas phase, aiming to better accommodate the interaction between pentapeptides and target gas molecules. By adapting the weights of terms in the Gibbs free energy equation given in an empirical force field model, we demonstrate a significant increase in the absolute value of Pearson’s correlation coefficient, from an average of 0.25 with conventional liquid phase models to 0.97 with our proposed gas phase models. An empirical modification technique for gas phase interactions markedly enhances the prediction accuracy of models, facilitating the effective development of peptide-based gas sensors.

権利情報:

• Creative Commons BY Attribution 4.0 International
  

キーワード: QCM

刊行年月日: 2024-11-29

出版者: Wiley

掲載誌:

• Advanced Sensor Research (ISSN: 27511219) vol. 4 issue. 4

研究助成金:

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1002/adsr.202400122

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更新時刻: 2025-04-14 16:30:33 +0900

MDRでの公開時刻: 2025-04-14 14:56:17 +0900