The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
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. She also holds an MSc in Bioinformatics and in Pharmaceutical Sciences. Currently, Carmelina is an entrepreneur in an innovation project of nutraceuticals and drug development using data mining techniques.
|
|