Site of metabolism prediction for aldehyde oxidase using molecular docking and molecular dynamics simulations

Abstract The metabolism mediated by aldehyde oxidase (AO) has been of great interest in the pharmaceutical industries. Our ligand-based site of metabolism (SOM) prediction method may lead to a small number of wrong predictions (7 out of 167 SOMs). To address this problem, we performed a structure-based SOM prediction that leverages molecular docking simulations followed by molecular dynamics simulations. The present approach accomplished an overall success rate of 86% (6 out of 7 SOMs).

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Publication Details

Journal
Chemistry Letters
Published
2025-10-28
DOI
https://doi.org/10.1093/chemle/upaf196
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.00
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article

Site of metabolism prediction for aldehyde oxidase using molecular docking and molecular dynamics simulations

Yu Takano, R. Shimizu, Tôru Saitô, Naoki Isemura
Chemistry Letters
Microbial Metabolic Engineering and Bioproduction
article

Site of metabolism prediction for aldehyde oxidase using molecular docking and molecular dynamics simulations

Yu Takano, R. Shimizu, Tôru Saitô, Naoki Isemura
article en

Abstract

Abstract The metabolism mediated by aldehyde oxidase (AO) has been of great interest in the pharmaceutical industries. Our ligand-based site of metabolism (SOM) prediction method may lead to a small number of wrong predictions (7 out of 167 SOMs). To address this problem, we performed a structure-based SOM prediction that leverages molecular docking simulations followed by molecular dynamics simulations. The present approach accomplished an overall success rate of 86% (6 out of 7 SOMs).

Chemistry LettersVol. 54(11)
Hiroshima City University (JP)
Openalex Percentile: Top 72%
Microbial Metabolic Engineering and Bioproduction
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