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Drug Design, Development and Therapy
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- Volume 20, 2026 (459)
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Journal Articles:
- Exploring Fragment-Based Approaches in Drug Discovery (3)
- Nanotechnology in Drug Delivery for Neurodegenerative Diseases (3)
- Next-Generation Treatments for Depression: From Novel Compounds to Optimized Use of Available Drugs (1)
- Advances in p53 Drug Discovery (5)
- Modern Computational Approaches for Drug Design and Discovery (3)
- New Trends in Formulations for Oral Inhalation (1)
- Advances in design and development of ophthalmic drugs (9)
- Using Innovative Drug Delivery Systems to Improve the Efficacy and Applicability of Poorly Water-soluble Drugs (4)
- Beyond Brain Boundaries: Overcoming the Blood-Brain Barrier to Reach the Central Nervous System (1)
- A cross-sectional survey on heart failure from China: disease burden and management (3)
- Ten Years of Biosimilars in Europe (4)
Is CADD ready to take a leap in the light of AI? Where are we?
Artificial intelligence (AI) in a research domain represents the theory and the computer technology development that helps to model the physical reality of the phenomenon under study. AI is capable of solving complex problems with higher accuracy and efficiency, such as robust language models like GPT, 3D protein model prediction tools like AlphaFold, and defeating champions in a board game like AlphaGo etc. The success of AI is well appreciated in our day-to-day life as well as in corporate businesses. However, its impact on computer aided drug design (CADD) is still awaited.