AI-based language models powering drug discovery and development

The discovery and development of new medicines is expensive, time-consuming, and often inefficient, with many failures along the way. Powered by artificial intelligence (AI), language models (LMs) have changed the landscape of natural language processing (NLP), offering possibilities to transform tr...

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Detalles Bibliográficos
Autores principales: Liu, Zhichao, Roberts, Ruth A., Lal-Nag, Madhu, Chen, Xi, Huang, Ruili, Tong, Weida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2021
Materias:
Keynote (Green)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604259/
https://www.ncbi.nlm.nih.gov/pubmed/34216835
http://dx.doi.org/10.1016/j.drudis.2021.06.009
Descripción
Sumario:The discovery and development of new medicines is expensive, time-consuming, and often inefficient, with many failures along the way. Powered by artificial intelligence (AI), language models (LMs) have changed the landscape of natural language processing (NLP), offering possibilities to transform treatment development more effectively. Here, we summarize advances in AI-powered LMs and their potential to aid drug discovery and development. We highlight opportunities for AI-powered LMs in target identification, clinical design, regulatory decision-making, and pharmacovigilance. We specifically emphasize the potential role of AI-powered LMs for developing new treatments for Coronavirus 2019 (COVID-19) strategies, including drug repurposing, which can be extrapolated to other infectious diseases that have the potential to cause pandemics. Finally, we set out the remaining challenges and propose possible solutions for improvement.

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