Estimating the total number of protein folds
dc.contributor.author | Govindarajan, Sridhar | en_US |
dc.contributor.author | Recabarren, Ruben | en_US |
dc.contributor.author | Goldstein, Richard A. | en_US |
dc.date.accessioned | 2006-04-19T14:01:35Z | |
dc.date.available | 2006-04-19T14:01:35Z | |
dc.date.issued | 1999-06-01 | en_US |
dc.identifier.citation | Govindarajan, Sridhar; Recabarren, Ruben; Goldstein, Richard A. (1999)."Estimating the total number of protein folds." Proteins: Structure, Function, and Genetics 35(4): 408-414. <http://hdl.handle.net/2027.42/34969> | en_US |
dc.identifier.issn | 0887-3585 | en_US |
dc.identifier.issn | 1097-0134 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/34969 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=10382668&dopt=citation | en_US |
dc.description.abstract | Many seemingly unrelated protein families share common folds. Theoretical models based on structure designability have suggested that a few folds should be very common while many others have low probability. In agreement with the predictions of these models, we show that the distribution of observed protein families over different folds can be modeled with a highly-stretched exponential. Our results suggest that there are approximately 4,000 possible folds, some so unlikely that only approximately 2,000 folds existing among naturally-occurring proteins. Due to the large number of extremely rare folds, constructing a comprehensive database of all existent folds would be difficult. Constructing a database of the most-likely folds representing the vast majority of protein families would be considerably easier. Proteins 1999;35:408–414. © 1999 Wiley-Liss, Inc. | en_US |
dc.format.extent | 120557 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | John Wiley & Sons, Inc. | en_US |
dc.subject.other | Chemistry | en_US |
dc.subject.other | Biochemistry and Biotechnology | en_US |
dc.title | Estimating the total number of protein folds | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Molecular, Cellular and Developmental Biology | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Chemistry, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Department of Chemistry, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Department of Chemistry, University of Michigan, Ann Arbor, Michigan ; Biophysics Research Division, University of Michigan, Ann Arbor, Michigan ; Department of Chemistry, University of Michigan, Ann Arbor, MI 48109-1055. | en_US |
dc.identifier.pmid | 10382668 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/34969/1/4_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/(SICI)1097-0134(19990601)35:4<408::AID-PROT4>3.0.CO;2-A | en_US |
dc.identifier.source | Proteins: Structure, Function, and Genetics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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