REPRESENTATIVE SELECTION OF PROTEINS BASED ON NUCLEAR FAMILIES

Research output: Contribution to journalLetter

Bibtex

@article{05c8672606be4f4f8e67ce57a18cbd73,
title = "REPRESENTATIVE SELECTION OF PROTEINS BASED ON NUCLEAR FAMILIES",
abstract = "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.",
keywords = "COMPLETE LINKAGE CLUSTERING, NOISE ELIMINATION, PDB FAMILIES, REPRESENTATIVE SELECTION",
author = "J BOBERG and T SALAKOSKI and Mauno Vihinen",
year = "1995",
doi = "10.1093/protein/8.5.501",
language = "English",
volume = "8",
pages = "501--503",
journal = "Protein Engineering, Design and Selection",
issn = "1741-0126",
publisher = "Oxford University Press",
number = "5",

}