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| Open Access | ARTIFICIAL INTELLIGENCE AND BIOMOLECULAR MODELING - THE POSSIBILITIES OF AI IN DRUG PRODUCTION
Abdullayeva I.B , Termiz iqtisodiyot va servis universiteti, Termiz shahar, Farovon massiv Choriyev A.Ch , Termiz iqtisodiyot va servis universiteti, Termiz shahar, Farovon massivAbstract
This article discusses the potential of artificial intelligence (AI) and biomolecular modeling in drug development. The drug development process is often lengthy and expensive; however, the integration of AI technologies offers significant opportunities to accelerate this process and enhance its efficiency. Biomolecular modeling utilizes computational methods to simulate the structure and behavior of biological molecules. AI algorithms, particularly machine learning techniques, assist in analyzing large datasets and can provide accurate predictions about how new drug compounds interact with biological targets. The article highlights the role of AI in flow modeling, structure prediction, virtual screening, and drug compound optimization through various examples. Additionally, it discusses the challenges and future prospects of AI in the drug development process.
Keywords
DSP-1181,CureMetrix,DeepMind and AlphaFold,BenevolentAI.
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This work is licensed under a Creative Commons Attribution 4.0 International License.