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Glutathione is a powerful antioxidant naturally produced in the body, composed of three amino acids cysteine, glutamine, and glycine. It plays a crucial role in detoxification, helping to neutralize free radicals and other harmful substances. Additionally, glutathione is vital for maintaining the immune system and supporting multiple metabolic processes.


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Furthermore, the increasing incorporation of artificial intelligence (AI) and machine learning in API discovery is transforming the field. By employing computational models, researchers can analyze vast datasets to predict how different compounds interact with biological systems, leading to the identification of promising new APIs more quickly and efficiently. For example, the AI-driven platform developed by companies like Insilico Medicine has successfully identified novel drug candidates for various diseases, demonstrating how technology can accelerate the pace of API development and optimize drug efficacy.


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The stability testing of APIs generally begins during the early stages of drug formulation. APIs are the substances in pharmaceutical products that provide therapeutic effects; therefore, their stability is crucial. The primary goal is to ascertain the degradation pathway of the API and to determine the appropriate storage conditions that will maximize its shelf life. Tests typically include accelerated stability studies, where samples are subjected to higher-than-normal temperatures and humidity levels to expedite degradation processes. These studies help predict how the API will behave under regular storage conditions.


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