Institut de Biologia Molecular de Barcelona (CSIC - IBMB)
Life & Medical Sciences
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Research interests
Structural biology provides eyes to the life sciences. This field, traditionally dominated by crystallography, has been enriched by atomic resolution microscopy and accurate structure predictions using deep learning to relate knowledge. New challenges can be conquered harnessing further sources of information to experiments and predictions in the development ofrational, integrated structural methods implemented in our own software ARCIMBOLDO and in SHELX. Our methods exploit the stereochemical knowledge present in small, local folds to determine and interpret structure within chemical, biomedical and biotechnological research. To extricate experimental information from model bias and data pathologies we propose a change of the validation paradigm (average stereochemistry) into verification (outperform alternative hypotheses) and are extending fragment-based algorithms into the field of electron diffraction.
