Next-Gen Drug Design Techniques

Recent research in drug design focuses on precision medicine, using advanced computational tools to design drugs that specifically interact with disease targets. The integration of AI and machine learning is transforming drug design by predicting molecular interactions and optimizing compounds for better efficacy and safety profiles. Structure-based drug design (SBDD) has allowed for the development of highly selective molecules, particularly in oncology and neurology. Fragment-based drug discovery (FBDD) is gaining popularity as a method to develop smaller, more efficient drug candidates. These innovations are accelerating the development of novel therapies for complex diseases with fewer side effects.

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