EDBT 2026 Demo / reviewers in the wild / expert
Sylvie Ricard-Blum
dblp:42/7068
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0001-9263-1851ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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 › biological database
protein interaction database |
0.1 | 1 | 2009 | MatrixDB, a database focused on extracellular protein-protein and protein-carbohydrate interactions · Bioinform. 2009 |
Bioinformatics and computational biology › molecular recognition
protein-carbohydrate interactions |
0.0 | 1 | 2009 | MatrixDB, a database focused on extracellular protein-protein and protein-carbohydrate interactions · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
database curation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactionsabstractBACKGROUND: Systems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is critical that researchers have high quality interaction datasets available to them, in a standard data format, and also a suite of tools with which to analyse such data and form experimentally testable hypotheses from them. The PSI-MI XML standard interchange format was initially published in 2004, and expanded in 2007 to enable the download and interchange of molecular interaction data. PSI-XML2.5 was designed to describe experimental data and to date has fulfilled this basic requirement. However, new use cases have arisen that the format cannot properly accommodate. These include data abstracted from more than one publication such as allosteric/cooperative interactions and protein complexes, dynamic interactions and the need to link kinetic and affinity data to specific mutational changes. RESULTS: The Molecular Interaction workgroup of the HUPO-PSI has extended the existing, well-used XML interchange format for molecular interaction data to meet new use cases and enable the capture of new data types, following extensive community consultation. PSI-MI XML3.0 expands the capabilities of the format beyond simple experimental data, with a concomitant update of the tool suite which serves this format. The format has been implemented by key data producers such as the International Molecular Exchange (IMEx) Consortium of protein interaction databases and the Complex Portal. CONCLUSIONS: PSI-MI XML3.0 has been developed by the data producers, data users, tool developers and database providers who constitute the PSI-MI workgroup. This group now actively supports PSI-MI XML2.5 as the main interchange format for experimental data, PSI-MI XML3.0 which additionally handles more complex data types, and the simpler, tab-delimited MITAB2.5, 2.6 and 2.7 for rapid parsing and download. M. Sivade Dumousseau, Diego Alonso-López, Mais G. Ammari, Glyn Bradley, Nancy H. Campbell, Arnaud Céol, Gianni Cesareni, Colin W. Combe, Javier De Las Rivas, Noemi del-Toro, Joshua Heimbach, Henning Hermjakob, Igor Jurisica, Luana Licata, Ruth C. Lovering, David J. Lynn, Birgit Meldal, Gos Micklem, Simona Panni, Pablo Porras, Sylvie Ricard-Blum, Bernd Roechert, Lukasz Salwínski, Anjali Shrivastava, Julie M. Sullivan, Nicolas Thierry-Mieg, Yo Yehudi, Kim Van Roey, Sandra E. Orchard |
BMC Bioinform. | 22 |
| 2009 | MatrixDB, a database focused on extracellular protein-protein and protein-carbohydrate interactionsabstractAbstract Summary: MatrixDB (http://matrixdb.ibcp.fr) is a database reporting mammalian protein–protein and protein–carbohydrate interactions involving extracellular molecules. It takes into account the full interaction repertoire of the extracellular matrix involving full-length molecules, fragments and multimers. The current version of MatrixDB contains 1972 interactions corresponding to 4412 experiments and involving 259 extracellular biomolecules. Availability: MatrixDB is freely available at http://matrixdb.ibcp.fr Contact: [email protected]; [email protected] Supplementary information: Supplementary data are available at Bioinformatics online. Emilie Chautard, Lionel Ballut, Nicolas Thierry-Mieg, Sylvie Ricard-Blum |
Bioinform. | 4 |