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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
Computational Prediction and In Vitro Validation of Potential Molecular Targets Associated with Adverse Reactions of
Xiaojuan He1, Rui Jing1, Na Wu1
1Department of Neurosurgery, Affiliated Hospital of Hebei Engineering University, Handan, People's Republic of China.
Insights
Neonatal antimicrobial drugs can cause adverse reactions by inhibiting off-target proteins like AKR1B1 and Neprilysin. This study reveals molecular targets, aiding safer drug development for infants.
Area of Science:
- Pharmacology and Toxicology
- Computational Chemistry
- Neonatal Medicine
Background:
- Neonates exhibit heightened susceptibility to adverse drug reactions (ADRs) from antimicrobials, impacting long-term health.
- Common ADRs include allergic reactions, gastrointestinal issues, and hepatic/renal dysfunction.
- Understanding the molecular basis of these ADRs is crucial for neonatal patient safety.
Purpose of the Study:
- To identify common molecular off-targets of frequently used neonatal antimicrobial drugs.
- To investigate the binding mechanisms and stability of drug-off-target interactions using computational methods.
- To experimentally validate the inhibitory effects of these drugs on identified off-targets.
Main Methods:
- Reverse target identification using DrugBank and SwissTargetPrediction.
- Venn diagram analysis to pinpoint common potential drug targets.
- Molecular docking and molecular dynamics (MD) simulations to assess drug-target interactions.
- In vitro bioactivity assays to determine inhibitory concentrations (IC50).
Main Results:
- AKR1B1 and Neprilysin were identified as common potential off-targets for selected antimicrobial drugs.
- In vitro assays confirmed significant inhibitory activity of these drugs against AKR1B1 and Neprilysin, with IC50 values in the micromolar range.
- MD simulations demonstrated stable drug-protein complexes and identified key interactions, including hydrogen bonds.
Conclusions:
- Antimicrobial drugs used in neonates may exert adverse effects by inhibiting specific off-target proteins, namely AKR1B1 and Neprilysin.
- This research provides critical molecular insights into neonatal antimicrobial ADR mechanisms.
- Findings support the rational design of safer antimicrobial analogs and inform future neonatal pharmacotherapy research.
Abstract:
Neonates are particularly susceptible to a range of adverse reactions when administered antimicrobial drugs, including allergic reactions, gastrointestinal discomfort, and hepatic or renal dysfunction. These adverse reactions can have significant long-term impacts on neonatal health. This study aimed to investigate the common molecular targets associated with these adverse reactions using reverse target identification and molecular dynamics (MD) simulations, and to experimentally assess the inhibitory effects of selected drugs on these targets. We initially identified adverse reactions associated with commonly used antimicrobial drugs such as Ceftazidime, Meropenem, Levofloxacin, Cefdinir, and Avibactam through DrugBank. Potential targets for these drugs were predicted using SwissTargetPrediction software, and common targets were identified using a Venn diagram. Molecular docking and MD simulations were conducted to assess the binding affinity and stability of the drug-target interactions. Finally, the inhibitory potential of selected antimicrobial drugs on the target proteins was evaluated through in vitro bioactivity assays. The study identified AKR1B1 and Neprilysin as common potential off-targets. Bioactivity assays confirmed that the tested antimicrobial drugs exhibited significant inhibitory effects on these two proteins, with inhibitory concentration at 50% (IC50) 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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