BIOLOGIA PREDITIVA: A REVOLUÇÃO IMPULSIONADA PELA INTELIGÊNCIA ARTIFICIAL
DOI:
https://doi.org/10.63330/aurumpub.015-010Palavras-chave:
Machine learning, Bioinformática, AlphaFold, Resistência aos antimicrobianos, ArqueiasResumo
A convergência da inteligência artificial e da bioinformática iniciou uma revolução científica, transformando a nossa capacidade de interpretar a complexidade biológica. Este trabalho argumenta que a recente solução para o problema do enovelamento de proteínas, alcançada por ferramentas de IA como o AlphaFold, proporcionou um arsenal tecnológico sem precedentes para enfrentar crises de saúde globais como a resistência aos antimicrobianos (RAM). Apresenta-se a "bioprospeção digital" como um novo paradigma que, em vez de cultivar microrganismos, explora diretamente os dados genómicos e proteómicos. Este método permite agora investigar fronteiras biológicas antes inacessíveis, destacando o domínio das Arqueias como um alvo de especial interesse. Devido à sua bioquímica única e por ser um ramo da vida vastamente inexplorado, a recente análise computacional dos seus proteomas revelou um rico potencial para novas famílias de compostos antimicrobianos ("arqueasinas"), validando assim a sua importância como uma fonte crucial para a descoberta de futuros antibióticos. Assim, a transição de uma ciência descritiva para uma preditiva, impulsionada por esta sinergia, inaugura uma nova era no desenho de fármacos e na engenharia biológica.
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Copyright (c) 2025 Abraham Guerra, Nilo Ricardo Corrêa de Mello Júnior, Anderson Manares-Romero, Luzia Micaele Alves Barbosa (Autor)
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
