Rita Guedes

PhD (2003) in Chemistry (Physical Chemistry/Computational Chemistry), Universidade de Lisboa

Assistant Professor, Computational and Medicinal Chemistry

Faculdade de Farmácia, Universidade de Lisboa — Av. Prof. Gama Pinto, 1649-003 Lisboa, Portugal

T (+351) 217 946 477
F (+351) 217 946 470
Researcher ID K-5836-2013
Group Researcher ID B-4834-2014
Scopus Author ID 7103388682

Research Interests

Guedes leads the molecular modeling lab at the Faculty of Pharmacy. Her lab focus on the identification and optimization of promising small molecules to target proteins involved in cancer, inflammation, viral and infectious diseases using computer aided drug design (quantum mechanics, molecular docking, virtual screening, molecular dynamics, pharmacophore, de novo and homology modeling). Her research synergistically combines computational chemistry with drug discovery and optimization. Currently, in her lab she supervises and co-supervises 7 PhD students and several master, tutorial and project students.

Selected Publications

Guedes RA, Serra P, Salvador JAR, Guedes RC. Computational Approaches for the Discovery of Human Proteasome Inhibitors: An Overview. Molecules, 2016, 21, 927.

Bonito CA, Nunes J, Leandro J, Louro F, Leandro P, Ventura, FV, Guedes RC. Unveiling the Pathogenic Molecular Mechanisms of the Most Common Variant (p.K329E) in Medium-Chain Acyl-CoA Dehydrogenase Deficiency by in Vitro and in Silico Approaches. Biochemistry 2016, 55, 7086–7098.

Areias LRP, Ruivo EFP, Goncalves LM, Duarte MT, André V, Moreira R, Lucas SD, Guedes RC. A unified approach toward the rational design of selective low nanomolar human neutrophil elastase inhibitors. RSC ADVANCES 2015, 5, 51717-51721.

Lucas SD, Gonçalves L, Afonso L, Correia H, Da Costa E, Guedes R, Moreira R, Guedes R C. Optimization of O3-Acyl Kojic Acid Derivatives as Potent and Selective Human Neutrophil Elastase Inhibitors. Journal of Medicinal Chemistry 2013, 69, 872-880.

Mugumbate G, Newton AS, Rosenthal, PJ, Gut J, Moreira R, Chibale K, Guedes RC. Novel anti-Plasmodial leads identified by virtual screening of the ZINC database. Journal of Computer-Aided Molecular Design 2013, 27, 859-871.