Carmelina Leite

Carmelina Leite has a PhD degree in Bioinformatics, Federal University of Minas Gerais, Brasil. She developed an algorithm for the ligand-based virtual screening based on linear algebra - The Milk-Way algorithm. This algorithm can be used not only to discover new drugs but also to reposition commercialized drugs. This structure-based screening resulted in a suggestion of treatment for COVID-19, the tetrachlorodecaoxide. Her dissertation comprised four years of work, giving rise to two deposit patents. Currently, Carmelina is an entrepreneur in an innovation project of nutraceuticals and drug development using data mining techniques.

Publications

Effective Techniques for Bioinformatic Exploration
Paulo Fazendeiro, Carmelina Leite. © 2025. 310 pages.
The field of biology and technology is constantly changing and growing. However, the abundance and intricacy of biological data present significant challenges for researchers...