How GPT has already revolutionized protein discovery

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List and describe ten ways that ChatGPT can assist computational chemistry as an alternative to lab testing on animals?

ChatGPT 
Predicting molecular properties: ChatGPT can predict molecular properties such as molecular weight, boiling point, and stability.

Virtual screening: ChatGPT can perform virtual screening of potential drug candidates, saving time and reducing the need for animal testing.

Drug design: ChatGPT can assist in drug design by predicting how molecules will interact with target proteins.

Docking simulations: ChatGPT can perform docking simulations to predict the binding affinity of a molecule to a target protein.

Structure prediction: ChatGPT can predict the 3D structure of molecules, reducing the need for X-ray crystallography or NMR spectroscopy.

Reaction prediction: ChatGPT can predict the outcome of chemical reactions, allowing for virtual optimization of reaction conditions.

Thermodynamics predictions: ChatGPT can predict thermodynamic properties such as enthalpy, entropy, and free energy.

QSAR modeling: ChatGPT can develop quantitative structure-activity relationships (QSAR) models to predict the activity of molecules.

Solubility predictions: ChatGPT can predict the solubility of molecules in different solvents, reducing the need for physical testing.

Toxicity predictions: ChatGPT can predict the toxicity of molecules, allowing for virtual testing of potential drug candidates before animal testing.

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