Demo Data from EDBT 2026 / reviewers in the wild / expert
Ignacio Sánchez-Valdenebro
dblp:47/6037
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1999
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology › metabolic network analysis
elementary flux modes |
0.0 | 1 | 1999 | METATOOL: for studying metabolic networks · Bioinform. 1999 |
Bioinformatics and computational biology › systems biology
metabolic network analysis |
0.0 | 1 | 1999 | METATOOL: for studying metabolic networks · Bioinform. 1999 |
Methods — techniques the papers use, named apart from their topics
convex basis computation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | METATOOL: for studying metabolic networksabstractMOTIVATION: To reconstruct metabolic pathways from biochemical and/or genome sequence data, the stoichiometric and thermodynamic feasibility of the pathways has to be tested. This is achieved by characterizing the admissible region of flux distributions in steady state. This region is spanned by what can be called a convex basis. The concept of 'elementary flux modes' provides a mathematical tool to define all metabolic routes that are feasible in a given metabolic network. In addition, we define 'enzyme subsets' to be groups of enzymes that operate together in fixed flux proportions in all steady states of the system. RESULTS: Algorithms for computing the convex basis and elementary modes developed earlier are briefly reviewed. A newly developed algorithm for detecting all enzyme subsets in a given network is presented. All of these algorithms have been implemented in a novel computer program named METATOOL, whose features are outlined here. The algorithms are illustrated by an example taken from sugar metabolism. AVAILABILITY: METATOOL is available from ftp://bmsdarwin.brookes.ac. uk/pub/software/ibmpc/metatool. SUPPLEMENTARY INFORMATION: http://www. biologie.hu-berlin.de/biophysics/Theory/tpfeiffer/metatoo l.html Thomas Pfeiffer 0004, Ignacio Sánchez-Valdenebro, Juan Carlos Nuño, Francisco Montero 0002, Stefan Schuster |
Bioinform. | 2 |