A few kilometres away in Sion,
high in the Swiss Alps, computational chemist Berend Smit has set up another EPFL
centre that develops algorithms for
predicting hundreds of thousands of nanoporous zeolites and metal — organic frameworks.
To understand the selection mechanism behind mutations, network - based studies were used to estimate the importance of a mutated protein compared to non-mutated ones in signalling and protein — protein interaction networks.10, 11,12,13 Proteins mutated in cancer were found having a
high number of interacting partners (i.e., a
high degree of connectivity), which indicates
high local importance.10 Mutated proteins are also often found in the
centre of the network, in key global positions, as quantified by the number of shortest paths passing through them if all proteins are connected with each other (i.e., they have
high betweenness centrality; hereafter called betweenness).11, 12 Mutated proteins also have
high clustering coefficients, which means their neighbours are also neighbours of each other.10, 13 Moreover, neighbourhood analysis of mutated proteins have been previously successfully used to
predict novel cancer - related genes.14, 15 However, to the best of our knowledge, no study has concentrated particularly on the topological importance of first neighbours of mutated proteins in cancer, and their usefulness as drug targets themselves.
Another eminent glaciologist, Aslak Grinsted, of the
Centre for Ice and Climate at the University of Copenhagen, says the IPCC did not provide an «explicitly»
higher estimate of sea - level rise over the next century «because we do not have models that reliably can
predict how probable a collapse of the Antarctic ice sheet is.