Atrás Oliva Miguel, Baldomero


Departamento de Medicina y Ciencias de la Vida
Informática Biomédica

Personal profile in our Scientific Output Portal (PPC)  

Biography note

Baldo Oliva is Professor of Structural Biology at the University Pompeu Fabra (UPF) in Barcelona and head of the Structural Bioinformatics group of the joint IMIM-UPF Research Programme on Biomedical Informatics (GRIB). He has performed research stays at Uppsala University, Imperial Cancer Research Fund, Rockefeller University, EMBL in Heidelberg and Leloir Institute in Buenos Aires. Author of more than 70 peer reviewed articles published in journals included in SCI. Director of 5 doctoral theses and several master theses. Principal Investigator of several projects granted by the spanish government,  project co-leader in EraSysBio+ grant (SHIPREC). Member of Editorial Board of BMC Bioinformatics and the Scientific Committee of Anaxomics SA. 

Research lines

  • On the study of the relationship between sequence, structure and function of proteins. Characterization of the structural motifs involved in the function and interactions between proteins. Development of statistical potentials and analysis of physico-chemical potentials helping to describe the fold and function of proteins and its interactions with other macro-molecules.
  • On the prediction of protein-protein and protein-DNA interations. Structural analysis of docking aproaches and development of new techniques towards the prediction of binding sites and the mechanisms of interface selection of protein-protein and protein-DNA interactions.
  • On the analysis of protein interation networks and its use on bio-medicine, helping to detect potential targets and prioritization of candidate disease-genes. Development of methods to study and integrate information for different types of networks and application on the study of metastasis. Prediction of signalling networks, such as the phosphorylation network and other post-transcriptional modifications, and integration with genomic data, such as microarrays.