REPRESENTATIVE SELECTION OF PROTEINS BASED ON NUCLEAR FAMILIES

The selection of unbiased representatives from a large database is com plicated by the requirement for the chosen entries to be not only genu inely different from each other but also typical for the family of rel ated entries. A method satisfying this 2-fold objective was developed by equipping complete linkage clustering with a novel noise eliminatio n procedure to deal with overlapping cluster structure, A total of 200 nuclear families of truly related Brookhaven Protein Data Bank struct ures were generated, from which any entry can be chosen to represent i ts family.