A novel bioinformatics approach for classifying proteins according to similarity of function, rather than of sequence, is described in the April 12
Standard methods of prediction of protein function from sequence rely on either an arbitrary standard—such as a cutoff point at a particular percentage sequence identity—or on analysis of annotations assigned by other experimentalists, Chasman told
“[Here], the idea is that if you have a bunch of sequences that you know are functionally related, but they have a few amino acids different, the operational definition tells you that you can substitute those alternative ...