The BioComputing UP Lab conducts research in bioinformatics and computational biology, with a special focus on the structural and mechanistic understanding of complex biological systems.
Our activities integrate computational and experimental approaches, combining method development with biological applications, and pursue three main goals:

• Development of novel computational methods, tools, and databases to study proteins at multiple levels — from sequence and structure to folding, function, and interactions.
• Application of computational approaches to address biologically relevant questions in diverse contexts, including structural and functional biology, large-scale and genome-wide analyses, and studies of genetic diseases and cancer.
• Experimental investigation of the role of protein disorder in cancer, aimed at validating computational predictions and uncovering the molecular mechanisms underlying Von Hippel–Lindau Syndrome.

The lab also contributes to the definition of standards and ontologies to ensure interoperability and reproducibility in machine learning and bioinformatics, fostering the integration between data, methods, and infrastructures.
Integrated in a wide international network, our lab not only participates in but also leads several international research initiatives and consortia, such as ML4NGP and IDPfun2.
The lab is also an active member of the European Research Infrastructure ELIXIR, contributing to the activities of the Italian Node, the Data and Interoperability platforms, the IDP User Community, and the Machine Learning Focus Group.e, Data and Interoperability platforms, IDP User Community and Machine Learning Focus Group.