pE-DB: a database of structural ensembles of intrinsically disordered and of unfolded proteins.

TitlepE-DB: a database of structural ensembles of intrinsically disordered and of unfolded proteins.
Publication TypeJournal Article
Year of Publication2014
AuthorsVaradi, M., S. Kosol, P. Lebrun, E. Valentini, M. Blackledge, K. A Dunker, I. C. Felli, J. D. Forman-Kay, R. W. Kriwacki, R. Pierattelli, J. Sussman, D. I. Svergun, V. N. Uversky, M. Vendruscolo, D. Wishart, P. E. Wright, and P. Tompa
JournalNucleic Acids Res
Volume42
IssueDatabase issue
PaginationD326-35
Date Published2014 Jan
Type of Articleidp
ISSN1362-4962
KeywordsDatabases, Protein, Internet, Intrinsically Disordered Proteins, Nuclear Magnetic Resonance, Biomolecular, Protein Unfolding, Scattering, Small Angle, X-Ray Diffraction
Abstract

The goal of pE-DB (http://pedb.vib.be) is to serve as an openly accessible database for the deposition of structural ensembles of intrinsically disordered proteins (IDPs) and of denatured proteins based on nuclear magnetic resonance spectroscopy, small-angle X-ray scattering and other data measured in solution. Owing to the inherent flexibility of IDPs, solution techniques are particularly appropriate for characterizing their biophysical properties, and structural ensembles in agreement with these data provide a convenient tool for describing the underlying conformational sampling. Database entries consist of (i) primary experimental data with descriptions of the acquisition methods and algorithms used for the ensemble calculations, and (ii) the structural ensembles consistent with these data, provided as a set of models in a Protein Data Bank format. PE-DB is open for submissions from the community, and is intended as a forum for disseminating the structural ensembles and the methodologies used to generate them. While the need to represent the IDP structures is clear, methods for determining and evaluating the structural ensembles are still evolving. The availability of the pE-DB database is expected to promote the development of new modeling methods and leads to a better understanding of how function arises from disordered states.

DOI10.1093/nar/gkt960
Alternate JournalNucleic Acids Res.
PubMed ID24174539
PubMed Central IDPMC3964940
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