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Anna Philips

dblp:96/10757 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
0000-0001-5020-8836ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 function prediction › functional site prediction
metal-binding site prediction		 0.112012
MetalionRNA: computational predictor of metal-binding sites in RNA structures · Bioinform. 2012
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA structure		 0.112012
MetalionRNA: computational predictor of metal-binding sites in RNA structures · Bioinform. 2012
Bioinformatics and computational biology › protein structure analysis
statistical potential		 0.012012
MetalionRNA: computational predictor of metal-binding sites in RNA structures · Bioinform. 2012

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

statistical potential · 0.1binding site analysis · 0.1
YearPublicationVenuePosition
2012 MetalionRNA: computational predictor of metal-binding sites in RNA structures
abstract
MOTIVATION: Metal ions are essential for the folding of RNA molecules into stable tertiary structures and are often involved in the catalytic activity of ribozymes. However, the positions of metal ions in RNA 3D structures are difficult to determine experimentally. This motivated us to develop a computational predictor of metal ion sites for RNA structures. RESULTS: We developed a statistical potential for predicting positions of metal ions (magnesium, sodium and potassium), based on the analysis of binding sites in experimentally solved RNA structures. The MetalionRNA program is available as a web server that predicts metal ions for RNA structures submitted by the user. AVAILABILITY: The MetalionRNA web server is accessible at http://metalionrna.genesilico.pl/.
Anna Philips, Kaja Milanowska, Grzegorz Lach, Michal J. Boniecki, Kristian Rother, Janusz M. Bujnicki
 Bioinform.1