Please use this identifier to cite or link to this item: http://repo.tma.uz/xmlui/handle/1/2241
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKuriyazova Saodat Matkarimovna., Muzaparov Azizbek Ulugbekovich-
dc.date.accessioned2025-10-31T07:36:46Z-
dc.date.available2025-10-31T07:36:46Z-
dc.date.issued2025-
dc.identifier.urihttp://repo.tma.uz/xmlui/handle/1/2241-
dc.description.abstractThis thesis explores the integration of artificial intelligence (AI) and natural compounds in the development of modern pharmaceutical agents. AI-based molecular modeling and bioinformatics approaches can accelerate the identification of biologically active molecules by 25-30%, reducing both cost and time. Natural compounds such as Curcuma longa and Glycyrrhiza glabra show high pharmacological potential. The study emphasizes that combining computational prediction with experimental validation creates an innovative and sustainable approach to developing safe and effective medicinesen_US
dc.language.isoen_USen_US
dc.publisherO'zbekiston, Termizen_US
dc.subjectPharmacology, Artificial intelligence, Innovation, Bioinformatics, Natural compounds, Drug discovery.en_US
dc.titleINTEGRATION OF ARTIFICIAL INTELLIGENCE AND NATURAL COMPOUNDS IN DRUG DEVELOPMENTen_US
dc.typeArticleen_US
Appears in Collections:Articles

Files in This Item:
File Description SizeFormat 
pdf24_umgewandelt (1).pdfINTEGRATION OF ARTIFICIAL INTELLIGENCE AND NATURAL COMPOUNDS IN DRUG DEVELOPMENT3.38 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.