ARTIFICIAL INTELLIGENCE APPLICATIONS IN DRUG DESIGN

Yıl 2024, , 327 - 365, 20.01.2024

Özden Tarı , Nuray Arpacı

https://doi.org/10.33483/jfpau.1327078

Öz

Objective: The increasing number of studies on artificial intelligence causes the pharmaceutical industry to benefit from these studies, as in every other field. This study is aimed at examining how artificial intelligence applications play a role in drug design and development.
Result and Discussion: In today’s world, where the need for new biologically active compounds is increasing, the continuous emergence of new algorithms in artificial intelligence, strong computational ability, and accumulation of obtained chemical and biological data allow the use of artificial intelligence in drug design. With artificial intelligence methods that can be applied at almost all stages of drug design, difficulties such as long time requirements and high costs in developing new drugs are tried to be reduced. As a result of this study, the applications of artificial intelligence technology in the drug design process and its advantages over traditional methods have been extensively analyzed and compared.

Anahtar Kelimeler

Artificial intelligence, deep learning, drug design, machine learning

Proje Numarası

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İLAÇ TASARIMINDA YAPAY ZEKÂ UYGULAMALARI

Öz

Amaç: Yapay zekâ üzerindeki çalışmaların giderek artması, her alanda olduğu gibi ilaç endüstrisinin de bu çalışmalardan faydalanmasına sebep olmaktadır. Bu çalışmada, yapay zeka uygulamalarının ilaç tasarımı ve geliştirilmesi üzerinde nasıl bir rol aldığının incelenmesi amaçlanmıştır.
Sonuç ve Tartışma: Yeni biyolojik olarak aktif bileşiklere ihtiyacın giderek arttığı günümüzde, yapay zekada sürekli yeni algoritmaların ortaya çıkması, güçlü hesaplama yeteneği, elde edilen kimyasal ve biyolojik verilerin birikmesi, ilaç tasarımında yapay zekâ kullanımına olanak sunmaktadır. İlaç tasarım aşamalarının neredeyse tüm basamaklarında uygulanabilen yapay zekâ yöntemleriyle, yeni ilaç geliştirilmesindeki uzun zaman gereksinimi ve yüksek maliyet gibi zorluklar azaltılmaya çalışılmaktadır. Bu çalışma sonucunda, yapay zekâ teknolojisinin ilaç tasarım sürecindeki uygulamaları ve geleneksel yöntemlere göre avantajları kapsamlı bir şekilde analiz edilerek karşılaştırılmıştır.

Anahtar Kelimeler

Derin öğrenme, ilaç tasarımı, makine öğrenimi, yapay zekâ

Destekleyen Kurum

Bu çalışma herhangi bir proje desteği olmadan Çukurova Üniversitesi Eczacılık Fakültesi bünyesinde gerçekleştirilmiştir.

Proje Numarası

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Teşekkür

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Kaynakça

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