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Ezequiel I. Juritz

dblp:99/9439 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure analysis › protein flexibility
conformational diversity
0.212013
CoDNaS: a database of conformational diversity in the native state of proteins · Bioinform. 2013
Bioinformatics and computational biology › structural bioinformatics
protein structure
0.212013
CoDNaS: a database of conformational diversity in the native state of proteins · Bioinform. 2013
Bioinformatics and computational biology
structural bioinformatics
0.212013
CoDNaS: a database of conformational diversity in the native state of proteins · Bioinform. 2013
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein function analysis
0.012013
CoDNaS: a database of conformational diversity in the native state of proteins · Bioinform. 2013
YearPublicationVenuePosition
2013 CoDNaS: a database of conformational diversity in the native state of proteins
abstract
MOTIVATION: Conformational diversity is a key concept in the understanding of different issues related with protein function such as the study of catalytic processes in enzymes, protein-protein recognition, protein evolution and the origins of new biological functions. Here, we present a database of proteins with different degrees of conformational diversity. Conformational Diversity of Native State (CoDNaS) is a redundant collection of three-dimensional structures for the same protein derived from protein data bank. Structures for the same protein obtained under different crystallographic conditions have been associated with snapshots of protein dynamism and consequently could characterize protein conformers. CoDNaS allows the user to explore global and local structural differences among conformers as a function of different parameters such as presence of ligand, post-translational modifications, changes in oligomeric states and differences in pH and temperature. Additionally, CoDNaS contains information about protein taxonomy and function, disorder level and structural classification offering useful information to explore the underlying mechanism of conformational diversity and its close relationship with protein function. Currently, CoDNaS has 122 122 structures integrating 12 684 entries, with an average of 9.63 conformers per protein. AVAILABILITY: The database is freely available at http://www.codnas.com.ar/.
Alexander Miguel Monzon, Ezequiel I. Juritz, María Silvina Fornasari, Gustavo D. Parisi
Bioinform.2