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J. Allers

dblp:83/5347 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure analysis › protein binding site analysis
binding pocket analysis
0.112006
Protein-RNA interactions: exploring binding patterns with a three-dimensional superposition analysis of high resolution structures · Bioinform. 2006
Bioinformatics and computational biology
protein-RNA interaction
0.112006
Protein-RNA interactions: exploring binding patterns with a three-dimensional superposition analysis of high resolution structures · Bioinform. 2006
Bioinformatics and computational biology
structural bioinformatics
0.112006
Protein-RNA interactions: exploring binding patterns with a three-dimensional superposition analysis of high resolution structures · Bioinform. 2006

Methods — techniques the papers use, named apart from their topics

three-dimensional superposition · 0.1composite binding pocket construction · 0.1
YearPublicationVenuePosition
2006 Protein-RNA interactions: exploring binding patterns with a three-dimensional superposition analysis of high resolution structures
abstract
MOTIVATION: The recognition of specific RNA sequences and structures by proteins is critical to our understanding of RNA processing, gene expression and viral replication. The diversity of RNA structures suggests that RNA recognition is substantially different than that of DNA. RESULTS: The atomic coordinates of 41 protein-RNA complexes have been used to probe composite nucleoside binding pockets that form the structural and chemical underpinnings of base recognition. Composite nucleoside binding pockets were constructed using three-dimensional superpositions of each RNA nucleoside. Unlike protein-DNA interactions which are dominated by accessibility, RNA recognition frequently occurs in non-canonical and single-strand-like structures that allow interactions to occur from a much wider set of geometries and make fuller use of unique base shapes and hydrogen-bonding ability. By constructing composites that include all van der Waals, hydrogen-bonding, stacking and general non-polar interactions made to a particular nucleoside, the strategies employed are made readily visible. Protein-RNA interactions can result in the formation of a glove-like tight binding pocket around RNA bases, but the size, shape and non-polar binding patterns differ between specific RNA bases. We show that adenine can be distinguished from guanine based on the size and shape of the binding pocket and steric exclusion of the guanine N2 exocyclic amino group. The unique shape and hydrogen-bonding pattern for each RNA base allow proteins to make specific interactions through a very small number of contacts, as few as two in some cases. AVAILABILITY: The program ENTANGLE is available from http://www.bioc.rice.edu/~shamoo
N. Morozova, J. Allers, Jeffrey C. Myers, Yousif Shamoo
Bioinform.2