Computational Prediction and <i>In Vitro</i> Validation of Potential Molecular Targets Associated with Adverse Reactions of Antimicrobial Drugs in Neonates

) values generally in the micromolar range. MD simulations indicated that the complexes of these drugs with the target proteins maintained relatively stable root mean square deviation (RMSD) values throughout the simulation period. Analysis of intermolecular forces revealed key attractive charge interactions and hydrogen bonds between the drugs and target proteins. This study systematically analyzed the molecular targets associated with antimicrobial drug adverse reactions in neonates by integrating computational and experimental approaches. The findings suggest that these drugs may cause adverse reactions by affecting the function of specific off-target proteins. This discovery provides valuable molecular insights into the mechanisms of adverse reactions and establishes a scientific basis for the rational design of safer drug analogs and for informing future antimicrobial treatment research for neonates.

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Publication Details

Journal
Assay and Drug Development Technologies
Published
2026-04-01
DOI
https://doi.org/10.1177/1540658x251413074
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Computational Prediction and In Vitro Validation of Potential Molecular Targets Associated with Adverse Reactions of Antimicrobial Drugs in Neonates

Rui Jing, Zhaojuan Yang, Na Wu, Ying Zhang et al.
Assay and Drug Development Technologies
Computational Drug Discovery Methods
article

Computational Prediction and In Vitro Validation of Potential Molecular Targets Associated with Adverse Reactions of Antimicrobial Drugs in Neonates

Rui Jing, Zhaojuan Yang, Na Wu, Ying Zhang, Yuanyuan Han, Xiaojing Li, Shasha Qiao
article en

Abstract

) values generally in the micromolar range. MD simulations indicated that the complexes of these drugs with the target proteins maintained relatively stable root mean square deviation (RMSD) values throughout the simulation period. Analysis of intermolecular forces revealed key attractive charge interactions and hydrogen bonds between the drugs and target proteins. This study systematically analyzed the molecular targets associated with antimicrobial drug adverse reactions in neonates by integrating computational and experimental approaches. The findings suggest that these drugs may cause adverse reactions by affecting the function of specific off-target proteins. This discovery provides valuable molecular insights into the mechanisms of adverse reactions and establishes a scientific basis for the rational design of safer drug analogs and for informing future antimicrobial treatment research for neonates.

Assay and Drug Development TechnologiesVol. 24(3)
Hebei University of Engineering (CN), Handan College (CN)
Good health and well-being
Openalex Percentile: Top 19%
Computational Drug Discovery Methods
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Computational Prediction and <i>In Vitro</i> Validation of Potential Molecular Targets Associated with Adverse Reactions of Antimicrobial Drugs in Neonates — Rui Jing, Zhaojuan Yang, et al. · Assay and Drug Development Technologies (2026) | TGRS Research Map | TGRS