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Atilio O. Rausch

dblp:303/2008 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-6769-2510ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

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
Computational science and engineering · 67% Bioinformatics and computational biology · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › computational chemistry › molecular simulation
molecular dynamics
0.512021
FrustratometeR: an R-package to compute local frustration in protein structures, point mutants and MD simulations · Bioinform. 2021
Bioinformatics and computational biology
protein structure analysis
0.512021
FrustratometeR: an R-package to compute local frustration in protein structures, point mutants and MD simulations · Bioinform. 2021
Computational science and engineering › computational chemistry › molecular simulation › molecular dynamics
trajectory analysis
0.512021
FrustratometeR: an R-package to compute local frustration in protein structures, point mutants and MD simulations · Bioinform. 2021

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

frustration analysis · 0.5energy landscape theory · 0.5
YearPublicationVenuePosition
2021 FrustratometeR: an R-package to compute local frustration in protein structures, point mutants and MD simulations
abstract
SUMMARY: Once folded, natural protein molecules have few energetic conflicts within their polypeptide chains. Many protein structures do however contain regions where energetic conflicts remain after folding, i.e. they are highly frustrated. These regions, kept in place over evolutionary and physiological timescales, are related to several functional aspects of natural proteins such as protein-protein interactions, small ligand recognition, catalytic sites and allostery. Here, we present FrustratometeR, an R package that easily computes local energetic frustration on a personal computer or a cluster. This package facilitates large scale analysis of local frustration, point mutants and molecular dynamics (MD) trajectories, allowing straightforward integration of local frustration analysis into pipelines for protein structural analysis. AVAILABILITY AND IMPLEMENTATION: https://github.com/proteinphysiologylab/frustratometeR. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Atilio O. Rausch, Maria I. Freiberger, Cesar O. Leonetti, Diego M. Luna, Leandro G. Radusky, Peter G. Wolynes, Diego U. Ferreiro, R. Gonzalo Parra
Bioinform.1