Desesenvolvimento de modelos computacionais para avaliação preditiva de ecotoxicidade em abelhas: desafios atuais
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2019
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Resumo
The hazardous chemicals, especially pesticides and industrial chemicals, have been responsible for a
dramatic drop in number of bees. Therefore, ecological risk assessment of novel chemicals is vital and
necessary. Since experimental assays on bees are costly, time-consuming, and poses an ethical problem;
there is a very urgent need to develop alternative methods for assess ecotoxicity on bees. In this review,
we summarize current technological development efforts to reliably identify and filter out compounds
potentially toxic for bees. Furthermore, we highlighted the recent strengths and pitfalls in the
integration, preparation and standardization of data needed to build computational models, and suggest
possible roadmaps, which may contribute for optimizing research outputs and led to more successful
and predictive computational models
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Pollinators, Computational toxicology, Artificial intelligence, Predictive modeling, Polinizadores, Toxicologia computacional, Inteligência artificial, Modelagem preditiva
Citação
LEMES, Josiel Araújo et al. Desesenvolvimento de modelos computacionais para avaliação preditiva de ecotoxicidade em abelhas: desafios atuais. Fronteiras: journal of social, technological and environmental Science, Anápolis, v. 8, n. 2, p.132-146, 2019. DOI: 10.21664/2238-8869.2019v8i2.p132-146. Disponível em: https://periodicos.unievangelica.edu.br/index.php/fronteiras/article/view/3060. Acesso em: 10 set. 2024.