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Irina Surovtsova

dblp:22/6262 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2009
0009-0003-4263-6250ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 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
2 papers
Bioinformatics and computational biology · 90% Computational science and engineering · 10%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology
biochemical system modeling
0.112009
Accessible methods for the dynamic time-scale decomposition of biochemical systems · Bioinform. 2009
Bioinformatics and computational biology › systems biology
kinetic modeling
0.112008
SYCAMORE - a systems biology computational analysis and modeling research environment · Bioinform. 2008
Bioinformatics and computational biology
systems biology
0.112008
SYCAMORE - a systems biology computational analysis and modeling research environment · Bioinform. 2008
Computational science and engineering › numerical analysis
model reduction
0.012009
Accessible methods for the dynamic time-scale decomposition of biochemical systems · Bioinform. 2009

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

time-scale separation · 0.1parameter estimation · 0.1model checking · 0.1
YearPublicationVenuePosition
2009 Accessible methods for the dynamic time-scale decomposition of biochemical systems
abstract
MOTIVATION: The growing complexity of biochemical models asks for means to rationally dissect the networks into meaningful and rather independent subnetworks. Such foregoing should ensure an understanding of the system without any heuristics employed. Important for the success of such an approach is its accessibility and the clarity of the presentation of the results. RESULTS: In order to achieve this goal, we developed a method which is a modification of the classical approach of time-scale separation. This modified method as well as the more classical approach have been implemented for time-dependent application within the widely used software COPASI. The implementation includes different possibilities for the representation of the results including 3D-visualization. AVAILABILITY: The methods are included in COPASI which is free for academic use and available at www.copasi.org. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Irina Surovtsova, Natalia Simus, Thomas Lorenz, Artjom König, Sven Sahle, Ursula Kummer
Bioinform.1
2008 SYCAMORE - a systems biology computational analysis and modeling research environment
abstract
UNLABELLED: SYCAMORE is a browser-based application that facilitates construction, simulation and analysis of kinetic models in systems biology. Thus, it allows e.g. database supported modelling, basic model checking and the estimation of unknown kinetic parameters based on protein structures. In addition, it offers some guidance in order to allow non-expert users to perform basic computational modelling tasks. AVAILABILITY: SYCAMORE is freely available for academic use at http://sycamore.eml.org. Commercial users may acquire a license. CONTACT: [email protected].
Andreas Weidemann, Stefan Richter 0002, Matthias Stein, Sven Sahle, Ralph Gauges, Razif R. Gabdoulline, Irina Surovtsova, Nils Semmelrock, Bruno Besson, Isabel Rojas, Rebecca C. Wade, Ursula Kummer
Bioinform.7