Raquel Cardoso de Melo Minardi
raquelminardi@gmail.com

Departamento de Ciência da Computação, ICEx, Universidade Federal de Minas Gerais, MG, Brazil.

The advance of climate change and inadequate environmental policies has put the rich biodiversity of Brazilian biomes at risk. In this context, the integration of data science, artificial intelligence (AI), and bioinformatics can offer innovative and sustainable solutions. This presentation will discuss how AI methods — with an emphasis on deep neural networks, structural bioinformatics, and cheminformatics — have been applied to the discovery, screening, and prediction of natural products with pharmacological and agricultural potential derived from Brazilian biodiversity. I will present computational approaches that integrate molecular, structural, and functional data, aiming not only to accelerate the identification of bioactive compounds but also to prioritize species and ecosystems of biotechnological interest, contributing to conservation strategies driven by the bioeconomy. By exploring the chemical potential of biomes through digital tools, it is possible to support the formulation of evidence-based public policies that combine environmental protection with sustainable development, especially in regions of high vulnerability and biological richness.

Keywords: Artificial intelligence, machine learning, bioinformatics.

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