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Updated: Dec 26, 2025

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
Published on: May 21, 2018
Identification of a New Chemotype of Anti-Obesity Compounds by Ensemble Screening
Hyunkyung Cho1, Joo-Youn Lee1,2, Sang Yoon Choi3
1College of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea.
Abstract:
Despite the increasing prevalence of overweight or obesity in the global population, most of the approved drugs for obesity are still not ideal for long-term use due to severe cardiovascular and/or neurological side effects. Therefore, we designed a library-implemented virtual screening (VS) approach to discover new anti-obesity agents without significant toxicity. The Bayesian classification and 3D pharmacophore model for the VS process were built by using the screening results of our in-house library of natural piper amide-like compounds, which possess a wide range of biological activities and relatively low toxicities. The VS process identified six compounds of different classes with enhanced inhibitory activities against lipid accumulation and without toxicity. Moreover, the most active compound with an oxadiazole scaffold resulted in weight loss and improved the fatty liver condition of mice with overnutrition in animal experiments.
Insights
New anti-obesity drugs were discovered using a virtual screening approach. A novel oxadiazole compound effectively reduced weight and improved fatty liver in mice, offering a safer alternative for obesity treatment.
Area of Science:
- Medicinal Chemistry
- Pharmacology
- Drug Discovery
Background:
- Rising global obesity rates necessitate safer, long-term anti-obesity medications.
- Current obesity drugs often have severe cardiovascular and neurological side effects, limiting their use.
Purpose of the Study:
- To discover novel anti-obesity agents with reduced toxicity using a virtual screening approach.
- To identify compounds that inhibit lipid accumulation without significant adverse effects.
Main Methods:
- Developed a virtual screening (VS) model using Bayesian classification and a 3D pharmacophore.
- Screened an in-house library of natural piper amide-like compounds for anti-obesity potential.
- Evaluated identified compounds for lipid accumulation inhibition and toxicity in vitro and in vivo.
Main Results:
- Identified six compounds across different classes exhibiting potent lipid accumulation inhibition and low toxicity.
- The most active compound, featuring an oxadiazole scaffold, demonstrated significant weight loss in diet-induced obese mice.
- This lead compound also ameliorated fatty liver conditions in the animal model.
Conclusions:
- The virtual screening approach successfully identified promising anti-obesity candidates with a favorable safety profile.
- The oxadiazole compound represents a potential therapeutic agent for managing obesity and related metabolic disorders like fatty liver disease.
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