How Computers Help in Early Drug Discovery – With Real Examples
- Molecular Docking
- Predicts how well a small
molecule (like a drug) fits into a target protein—like checking if a key
fits into a lock.
- Example: During the SARS outbreak
in 2003, molecular docking was used to screen antiviral compounds
quickly. It was also widely used in 2020 to study potential drugs against
COVID-19’s spike protein.
- Molecular Dynamics (MD)
Simulation
- Shows how the drug and
protein interact over time—like watching how a key behaves inside a
moving or shaking lock.
- Example: MD simulations were used to refine HIV protease inhibitors, improving their effectiveness by understanding how the drug binds and stays stable over time.
- Network Pharmacology
- Studies how multiple
compounds affect many proteins or pathways—especially helpful in herbal
or traditional medicines.
- Example: In Traditional Chinese
Medicine (TCM), network pharmacology helped reveal how compounds in ginseng
and licorice work together to fight inflammation and support
immunity.
- Density Functional Theory
(DFT)
- Examines molecules at the
atomic level to understand their chemical properties like stability and
reactivity.
- Example: DFT has been used to study
anti-cancer compounds and metal-based drugs like cisplatin,
helping explain how they interact with DNA at the electron level.
- In Silico ADMET
- Uses computer tools to
predict how a drug behaves in the human body:
- Absorption
- Distribution
- Metabolism
- Excretion
- Toxicity
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Interested in Using These
In-Silico Techniques for Your Research?
If you're looking to incorporate molecular docking, molecular dynamics, network
pharmacology, DFT calculations, or ADMET predictions into your thesis, dissertation,
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