Research Keyword: ADMET prediction

Molecular docking as a tool for the discovery of molecular targets of nutraceuticals in diseases management

This review explains how scientists use computer simulations to understand how natural food compounds (called nutraceuticals) interact with disease-causing molecules in the body. By using molecular docking software, researchers can predict which compounds might fight diseases like cancer and heart disease before conducting expensive laboratory tests. The review shows that many common foods like turmeric, grapes, and green tea contain compounds that could potentially treat various diseases by targeting specific proteins and pathways involved in disease development.

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Taxonomic characterization and cytotoxic potential of Vietnamese Ganoderma ellipsoideum against human breast cancer MCF-7 cells

Scientists discovered a mushroom species called Ganoderma ellipsoideum in Vietnam that shows promise in fighting breast cancer. When tested on cancer cells in the laboratory, extracts from this mushroom killed cancer cells effectively. Computer modeling showed that compounds from this mushroom fit perfectly into and block proteins that help cancer cells grow and spread. This discovery suggests the mushroom could be a natural source for developing new cancer drugs.

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Fungal inhibitory activity of sesquiterpenoids isolated from Laggera pterodonta

Researchers isolated six antifungal compounds from a traditional Chinese medicine plant called Laggera pterodonta. One compound called costic acid showed excellent ability to kill common crop-destroying fungi like P. nicotianae and F. oxysporum by damaging their cell membranes. These natural compounds could serve as safer alternatives to synthetic fungicides in agriculture, offering environmental benefits without toxic chemical residues.

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