Representative selection of proteins based on nuclear families.
The selection of unbiased representatives from a large database is complicated by the requirement for the chosen entries to be not only genuinely different from each other but also typical for the family of related entries. A method satisfying this 2-fold objective was developed by equipping complete linkage clustering with a novel noise elimination procedure to deal with overlapping cluster structure. A total of 200 nuclear families of truly related Brookhaven Protein Data Bank structures were generated, from which any entry can be chosen to represent its family.
J
J
Boberg
T
T
Salakoski
M
M
Vihinen
D000465:Algorithms; D003195:Computer Communication Networks; D016208:Databases, Factual / Q000706:statistics & numerical data*; D011506:Proteins / Q000737:chemistry* / Q000145:classification / Q000235:genetics; D017421:Sequence Analysis; D017386:Sequence Homology, Amino Acid; D012984:Software
D011506:Proteins