Manuel Giollo

TL;DR: The second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function, was conducted by as mentioned in this paper. But the results of the CAFA2 assessment are limited.

TL;DR: The second critical assessment of functional annotation (CAFA) conducted, a timed challenge to assess computational methods that automatically assign protein function, revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies.

TL;DR: The second Critical Assessment of Functional Annotation (CAFA) challenge as mentioned in this paper was the first attempt to assess computational methods that automatically assign protein function. And the results of CAFA2 showed that computational function prediction is improving.

TL;DR: MobiDB annotates disorder for UniProt sequences, allowing the first large-scale assessment of fast disorder predictors on 25 833 different sequences with X-ray crystallographic structures and produces a comprehensive ranking of predictors.

TL;DR: NeEMO offers an innovative and reliable tool for the annotation of amino acid changes, and a key contribution are RINs, which can be used for modeling proteins and their interactions effectively.