Artificial intelligence in drug design: why a 'one-size-fits-all' approach remains out of reach.

Journal: Expert opinion on drug discovery
Published Date:

Abstract

INTRODUCTION: Advances in artificial intelligence (AI) have transformed the drug design and discovery process, introducing novel methods that can reduce costs, increase success rates, and shorten development timelines. However, due to the complexity and multifactorial nature of this process, no single AI approach is likely to be universally effective.

Authors

  • Rafael Lopes Almeida
    Departamento de Engenharia Eletrônica, Escola de Engenharia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Gabriella Matos Campera
    Departamento de Produtos Farmacêuticos, Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
  • Ina Pöhner
    School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
  • Vinícius Gonçalves Maltarollo
    Federal University of ABC (UFABC), Centre for Natural Sciences and Humanities , Santa Adélia Street, 166, Bangu, Santo André -SP , Brazil.

Keywords

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