David A. Lee

TL;DR: There is an increasing number of noteworthy methods for predicting protein function from sequence and structural data alone, many of which are readily available to cell biologists who are aware of the strengths and pitfalls of each available technique.

TL;DR: This article provides an update on the major developments in the 2 years since the last publication in this journal including: significant improvements to the predictive power of the authors' functional families (FunFams); the release of their ‘current’ putative domain assignments (CATH-B); a new, strictly non-redundant data set of CATH domains suitable for homology benchmarking experiments (Cath-40) and a number of improved to the web pages.

TL;DR: The three parameters investigated were each influenced by the dynamic strain regimens in a distinct manner, implying that the signalling mechanisms involved are uncoupled.

TL;DR: Developments to the CATH-Gene3D resource over the last two years since the publication in 2015 are described, including significant increases to the structural and sequence coverage; expansion of the functional families in CATH; building a support vector machine (SVM) to automatically assign domains to superfamilies.

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.