CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Estimating the total number of protein folds
Authors
Bernstein
Brayn Sutton
+44 more
Brooks
Brünger
Carrion-Vazquez
Duan
Erickson
Gouda
Grubmüller
Gruebele
Gullingsrud
Humphrey
Hynes
Improta
Isralewitz
Izrailev
Izrailev
Karplus
Kellermayer
Kerfeld
Kosztin
Krammer
Ladurner
Lazaridis
Leahy
Leech
Lu
Lu
Machado
MacKerell
Maruyama
Meekhof
Nagar
Nelson
Oberhauser
Onuchic
Pain
Pande
Rief
Rief
Stepaniants
Tirado-Rives
Tskhovrebova
Wang
Wang
Wriggers
Publication date
1 January 1999
Publisher
'Wiley'
Doi
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.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/34969/1/4_ftp.pd
Similar works
Full text
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
Last time updated on 03/09/2020
Deep Blue Documents at the University of Michigan
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:deepblue.lib.umich.edu:202...
Last time updated on 25/05/2012