Demo Data from EDBT 2026 / reviewers in the wild / expert
Domenica Marchese
dblp:136/5753
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0002-3036-4580ORCID · reported
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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein analysis |
0.2 | 1 | 2014 | The cleverSuite approach for protein characterization: predictions of structural properties, solubility, chaperone requirements and RNA-binding abilities · Bioinform. 2014 |
Bioinformatics and computational biology › protein analysis
protein bioinformatics |
0.2 | 1 | 2014 | The cleverSuite approach for protein characterization: predictions of structural properties, solubility, chaperone requirements and RNA-binding abilities · Bioinform. 2014 |
Bioinformatics and computational biology › molecular property prediction
protein property prediction |
0.2 | 1 | 2014 | The cleverSuite approach for protein characterization: predictions of structural properties, solubility, chaperone requirements and RNA-binding abilities · Bioinform. 2014 |
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA-protein interaction prediction |
0.2 | 1 | 2013 | catRAPID omics: a web server for large-scale prediction of protein-RNA interactions · Bioinform. 2013 |
Bioinformatics and computational biology › molecular property prediction › protein property prediction
protein solubility prediction |
0.1 | 1 | 2014 | The cleverSuite approach for protein characterization: predictions of structural properties, solubility, chaperone requirements and RNA-binding abilities · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
physico-chemical propensity statistics · 0.2cross-validation · 0.2sequence-based interaction prediction · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | The cleverSuite approach for protein characterization: predictions of structural properties, solubility, chaperone requirements and RNA-binding abilitiesabstractMOTIVATION: The recent shift towards high-throughput screening is posing new challenges for the interpretation of experimental results. Here we propose the cleverSuite approach for large-scale characterization of protein groups. DESCRIPTION: The central part of the cleverSuite is the cleverMachine (CM), an algorithm that performs statistics on protein sequences by comparing their physico-chemical propensities. The second element is called cleverClassifier and builds on top of the models generated by the CM to allow classification of new datasets. RESULTS: We applied the cleverSuite to predict secondary structure properties, solubility, chaperone requirements and RNA-binding abilities. Using cross-validation and independent datasets, the cleverSuite reproduces experimental findings with great accuracy and provides models that can be used for future investigations. AVAILABILITY: The intuitive interface for dataset exploration, analysis and prediction is available at http://s.tartaglialab.com/clever_suite. Petr Klus, Benedetta Bolognesi, Federico Agostini, Domenica Marchese, Andreas Zanzoni, Gian Gaetano Tartaglia |
Bioinform. | 4 |
| 2013 | catRAPID omics: a web server for large-scale prediction of protein-RNA interactionsabstractSUMMARY: Here we introduce catRAPID omics, a server for large-scale calculations of protein-RNA interactions. Our web server allows (i) predictions at proteomic and transcriptomic level; (ii) use of protein and RNA sequences without size restriction; (iii) analysis of nucleic acid binding regions in proteins; and (iv) detection of RNA motifs involved in protein recognition. RESULTS: We developed a web server to allow fast calculation of ribonucleoprotein associations in Caenorhabditis elegans, Danio rerio, Drosophila melanogaster, Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae and Xenopus tropicalis (custom libraries can be also generated). The catRAPID omics was benchmarked on the recently published RNA interactomes of Serine/arginine-rich splicing factor 1 (SRSF1), Histone-lysine N-methyltransferase EZH2 (EZH2), TAR DNA-binding protein 43 (TDP43) and RNA-binding protein FUS (FUS) as well as on the protein interactomes of U1/U2 small nucleolar RNAs, X inactive specific transcript (Xist) repeat A region (RepA) and Crumbs homolog 3 (CRB3) 3'-untranslated region RNAs. Our predictions are highly significant (P < 0.05) and will help the experimentalist to identify candidates for further validation. AVAILABILITY: catRAPID omics can be freely accessed on the Web at http://s.tartaglialab.com/catrapid/omics. Documentation, tutorial and FAQs are available at http://s.tartaglialab.com/page/catrapid_group. Federico Agostini, Andreas Zanzoni, Petr Klus, Domenica Marchese, Davide Cirillo, Gian Gaetano Tartaglia |
Bioinform. | 4 |