Collaborations

We mention below some of our current collaborations. We warmly encourage laboratories wishing to discuss possible collaborations to contact us.

International

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.

National

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)