We mention below some of our current collaborations. We warmly encourage laboratories wishing to discuss possible collaborations to contact us.
Professor Dame Janet Thornton (EMBL-EBI) - we collaborate with Dr Thorton in our studies to understand protein-ligand binding sites.
Professor Douglas Pires (University of Melbourne) - we have a collaboration in the development of bioinformatics methods, specially web servers.
Professor Leandro Marcolino (Lancaster University) - we have a collaboration in the development of Artificial Intelligence strategies applied to bioinformatics.
Dr António Ribeiro (EMBL-EBI) - we collaborate in our studies involving protein-ligand binding site prediction.
Dr Jonathan Tyzack (EMBL-EBI) - we collaborate in our studies involving protein-ligand binding site prediction.
Professor Raquel Cardoso de Melo-Minardi (UFMG) - we collaborate on the design of computational methods to address bioinformatics research questions and we also collaborate on the proposal of data visualization strategies.
Professor Sandro Izidoro (UNIFEI) - we have a collaboration on the development of methods and web servers to predict and visualize protein-ligand binding sites and enzyme catalytic sites.
Professor Leonardo Lima (UFSJ) - we collaborate on the rational prediction/design of molecules, specially on the refinement of molecules predicted by computational strategies using molecular dynamics simulations.
Internal collaborations at UFV
Professor Elizabeth Fontes - we collaborate in the development of machine learning strategies to predict plant receptor-like proteins (RLPs).
Professor Sergio de Paula - we collaborate in the development of molecules to inhibit targets of interest. Professor Sergio supports us in wet lab experiments to validate our computational predictions.
Professor Maria Goreti Oliveira - studies involving plant-pest interactions, especially on the validation of molecules predicted through computational strategies developed by our group.
Professor Wendel Silveira - development of machine learning methods to predict protein abundance through codon usage bias of genes.
Professor Maria Cristina Baracat - we have started a collaboration in the development of machine learning methods to characterize and predict peptides from plants with antimicrobial activity.
Professor Marcelo José Braga - we have started to collaborate on the development of visual interactive metaphors for monitoring, evaluating and proposing public policies.
Professor Simone Martins - we have started a collaboration on the development of data visualizations for monitoring, evaluating and proposing public policies for older adults.
With thanks to our funders
Universidade Federal de Viçosa
Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)