MINICOURSES

3

Multivariate Analysis in Chemical and Biological Studies

Twenty years of teaching Chemometrics with research in the areas of Bioanalytics, Environmental Science, Green Analytical Chemistry (Microfabrication and Miniaturization of Analytical Systems), and Method Validation. Focused on collaboration, especially with advanced data processing. Currently a collaborating researcher on the Finep project - FINEP 2030 Program - ICTS NETWORK, involving analytical instrumentation (microsensors) and Chemometrics, focused on applications in Green Chemistry in interface with the automotive industry.

Suggested prerequisites: Basic Statistics;

Topics: Exploratory and Regression (Prediction) Methods in Multivariate Data Analysis in Chemistry and Biology: PCA, HCA, PLS, Generalized and Adaptive Regression Models (MARSpline, Neural Networks, KNN, among others);

Format: Practical/Theoretical (in the computer lab, computer-assisted training);

Duration: 8 hours.

https://lattes.cnpq.br/2253809699898165 

Privileged Structures in Drug Discovery

The researcher holds a degree in Pharmacy and Biochemistry from the University of São Paulo (USP) and a direct doctorate in Drugs and Medicines from the Faculty of Pharmaceutical Sciences at USP, with a sandwich internship at the University of Mississippi, in Oxford, USA. She completed her postdoctoral studies at the same institution with a scholarship from FAPESP, working in the area of molecular modeling, with an emphasis on 3D and 4D QSAR methodologies, docking, and molecular dynamics. She worked as a professor and researcher at Universidade Bandeirante de São Paulo and is currently an associate professor at the Federal University of São Paulo (UNIFESP) – Diadema Campus, teaching Pharmaceutical Chemistry, Chemical-Pharmaceutical Technology, and Drug Development. She has consolidated experience in Medicinal Chemistry, focusing on the synthesis and evaluation of new bioactive compounds with antiparasitic, anthelmintic, tuberculostatic, and antitumor potential. She also works in the rational development of drugs using molecular modeling tools, with the aim of understanding mechanisms of action at the molecular level and optimizing ligand-target interactions.

Did you know that certain molecular fragments appear repeatedly in drugs with very different biological functions? These "wild card" structures, known as privileged structures, are fundamental pieces in the puzzle of drug discovery and rational design.

In this interactive mini-course, we'll explore how these structures work, why they are so effective, and how modern chemical biology leverages them to accelerate the search for new therapies. Combining theoretical concepts, real case studies, and hands-on challenges, you'll learn how to identify, apply, and even design new compounds with therapeutic potential.

Lipid and polymeric nanoparticle systems for bioactive delivery

Pharmacist-biochemist from UNESP, in Araraquara. Master's degree in Pharmaceutical Sciences from UNESP, in Araraquara, working with micro/nanoencapsulated systems carrying liposomes. PhD in Drugs and Medicines from USP, in São Paulo, working with solid pharmaceutical forms for didanosine. Postdoctoral degree from the University of Queensland, in Brisbane, Australia, working with thermoresponsive gels for the delivery of bioactive compounds for topical application. He has been in the teaching profession for 26 years, the last 15 of which at Unifesp/Diadema campus, working with Pharmaceutical Technology and Drug Delivery Systems. Advises undergraduate research students, master's students, and co-advises doctoral students on campus. Currently develops research and technological innovation projects related to the development of formulations containing nanostructured systems through partnerships with companies in the pharmaceutical and cosmetic sectors through the Center for Innovation in Materials (CIM), the Brazilian Industrial Research and Innovation Company (EMBRAPII) unit at Unifesp. Some partner companies are L'Oreal, FQM - Farmoquímica, Shangai Pechoin, Solabiá Biotecnologica, and Side X3 Innovation.

Workload: 3 hours of theory + 4 hours of practical work = 7 hours total;

Number of participating students: maximum 24 students;

Location: theoretical activity (anfiteatro Unidade José Alencar ); practical activity (Laboratórios de Tecnologia Farmacêutica (graduação) e Farmacotécnica e Cosmetologia (pesquisa)).

 https://lattes.cnpq.br/4715398927727906