Molecular Dynamics Unveils Multiple-Site Binding of Inhibitors with Reduced Activity on the Surface of Dihydrofolate Reductase

The sensitivity to protein inhibitors is altered by modifications or protein mutations, as represented by drug resistance. The mode of stable drug binding to the protein pocket has been experimentally clarified. However, the nature of the binding of inhibitors with reduced sensitivity remains unclear at the atomic level. In this study, we analyzed the thermodynamics and kinetics of inhibitor binding to the surface of wild-type and mutant dihydrofolate reductase (DHFR) using molecular dynamics simulations combined with Markov state modeling. A strong inhibitor of methotrexate (MTX) showed a preference for the active site of wild-type DHFR with minimal binding to unrelated (secondary) sites. Deletion of a side-chain fragment in MTX largely destabilized the active site-bound state, with clear evidence of binding to secondary sites. Similarly, the F31V mutation in DHFR diminished the specificity of MTX binding to the active site. These results reveal the presence of multiple-bound states whose stabilities are comparable to or higher than those of the unbound state, suggesting that a reduction in the binding affinity for the active site significantly elevates the fractions of these states. This study presents a theoretical model that more accurately interprets the altered drug sensitivity than the traditional two-state model.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2024-10-12
DOI
https://doi.org/10.1021/jacs.4c04648
Citations
3
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.70

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article

Molecular Dynamics Unveils Multiple-Site Binding of Inhibitors with Reduced Activity on the Surface of Dihydrofolate Reductase

Mitsugu Araki, Yuta Isaka, Yasushi Okuno, Shigeyuki Matsumoto et al.
3 citations
Journal of the American Chemical Society
Protein Structure and Dynamics
0.70
article

Molecular Dynamics Unveils Multiple-Site Binding of Inhibitors with Reduced Activity on the Surface of Dihydrofolate Reductase

Mitsugu Araki, Yuta Isaka, Yasushi Okuno, Shigeyuki Matsumoto, Hironori Kokubo, Gert‐Jan Bekker, Yunoshin Tamura, Narutoshi Kamiya, Toru Ekimoto, Mitsunori Ikeguchi, Kazuhiro Takemura, Yukari Sagae, Tsutomu Yamane
article en
3 citations

Abstract

The sensitivity to protein inhibitors is altered by modifications or protein mutations, as represented by drug resistance. The mode of stable drug binding to the protein pocket has been experimentally clarified. However, the nature of the binding of inhibitors with reduced sensitivity remains unclear at the atomic level. In this study, we analyzed the thermodynamics and kinetics of inhibitor binding to the surface of wild-type and mutant dihydrofolate reductase (DHFR) using molecular dynamics simulations combined with Markov state modeling. A strong inhibitor of methotrexate (MTX) showed a preference for the active site of wild-type DHFR with minimal binding to unrelated (secondary) sites. Deletion of a side-chain fragment in MTX largely destabilized the active site-bound state, with clear evidence of binding to secondary sites. Similarly, the F31V mutation in DHFR diminished the specificity of MTX binding to the active site. These results reveal the presence of multiple-bound states whose stabilities are comparable to or higher than those of the unbound state, suggesting that a reduction in the binding affinity for the active site significantly elevates the fractions of these states. This study presents a theoretical model that more accurately interprets the altered drug sensitivity than the traditional two-state model.

Journal of the American Chemical SocietyVol. 146(42)
Tokyo Institute of Technology (JP), Taisho Pharmaceutical (Japan) (JP), University of Hyogo (JP), Kyoto University (JP), National Tsing Hua University (TW), RIKEN Center for Computational Science (JP), Yokohama City University (JP), The University of Osaka (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science
Openalex Percentile: Top 29%
Protein Structure and Dynamics
0.70
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