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Universidade de São Paulo (USP). Escola de Artes, Ciências e Humanidades (EACH) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Patricia Rufino Oliveira received her Bachelors degree in Computer Science from Universidade Estadual Paulista Júlio de Mesquita Filho (1994), Masters degree in Computer Science with a focus on Artificial Intelligence from Universidade de São Paulo (1997). In 2014, she obtained her Doctorate in Computer Science with a focus on Artificial Intelligence from Universidade de São Paulo. Her current research interest includes machine learning, independent component analysis, computer vision, data mining, and drug discovery. (Source: Lattes Curriculum)
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To develop a new medicine, investigators must analyze the biological targets of a given disease, discover and develop drug candidates for these targets, performing in parallel, biological laboratory tests to validate the drug effectiveness and side effects. The Quantitative Study of Activity-Structure Relationships (QSAR) involves building regression models that relate a set of descriptor…
This research project aims to study the state of the art, the fundamentals, principles and practices of Quantum Computing and to investigate how these elements can be incorporate to the architectures and training algorithms for Artificial Neural Networks (ANN). Research involving these issues has resulted in models known as Quantum Neural Networks (QNN), which is the main object of study …
Quantitative Structure-Activity Relationship (QSAR) studies are crucial to the drug discovery process as these analyses are mainly used for estimating values that indicate the biological activity of new chemical compounds. However, these studies are very costly, since the transformation of chemical descriptors into numerical data sets is not a trivial task. In such situations, it would be…
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