Zastosowania i możliwości wykorzystania sztucznej inteligencji w farmakologii
Słowa kluczowe:
uczenie maszynowe, sztuczna inteligencja, leki, farmakologia, farmakologia klinicznaStreszczenie
W ostatnich latach sztuczna inteligencja (ang. artificial intelligence AI) i uczenie maszynowe (ang. machine learning ML) zaczęły odgrywać coraz większą rolę w farmakologii, przyspieszając proces odkrywania oraz badania leków. W tej pracy przedstawiono przegląd najważniejszych metod i narzędzi AI/ML wykorzystywanych w farmakologii, w tym predykcję właściwości fizykochemicznych związków chemicznych, identyfikację nowych celów terapeutycznych oraz modelowanie molekularne. Omówiono zastosowanie AI/ML w procesie selekcji i priorytetyzacji nowych celów terapeutycznych, który jest kluczowym etapem w badaniach farmakologicznych. W pracy zaprezentowano także wykorzystanie AI/ML w projektowaniu i optymalizacji leków, które może prowadzić do skrócenia czasu odkrywania nowych leków oraz obniżenia kosztów badawczych. Wnioski wyciągnięte z poniższego przeglądu wskazują na to, że AI/ML mają ogromny potencjał w przyspieszeniu procesu odkrywania i rozwijania nowych leków. Pomimo pewnych wyzwań technicznych, takich jak niedostatek danych i brak standardowych protokołów badawczych, AI/ML stanowią coraz ważniejsze narzędzie w farmakologii i będą odgrywać kluczową rolę w przyszłych badaniach farmakologicznych.
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Zapowiedzi
22 sierpnia 2023
Prawa autorskie (c) 2023 Michał Azierski, Marcin Rojek
Licencja
Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa – Użycie niekomercyjne – Bez utworów zależnych 4.0 Międzynarodowe.
