Demo Data from EDBT 2026 / reviewers in the wild / expert
R. Claudio Aguilar
dblp:194/0069
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · unresolved
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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein function analysis |
0.3 | 1 | 2017 | The Information Content of Glutamine-Rich Sequences Define Protein Functional Characteristics · Proc. IEEE 2017 |
Methods — techniques the papers use, named apart from their topics
statistical analysis of protein composition · 0.3biochemical structural constraints · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | The Information Content of Glutamine-Rich Sequences Define Protein Functional CharacteristicsabstractThe presence of abnormally expanded glutamine (Q) repeats within specific proteins (e.g., huntingtin) is the well-established cause of several neurogenerative diseases, including Huntington disease and spinocerebellar ataxias. However, the impact of “expanded Q” stretches on the protein function is not well understood, mostly due to lack of knowledge about the physiological role of Q repeats and the mechanism by which these repeats achieve functional specificity. Indeed, it is intriguing that regions with such low complexity (low information content) can display exquisite functional specificity, prompting the question: where is this information stored? Applying biochemical/structural constraints and statistical analysis of protein composition, we identified Q-rich (QR) regions present in coiled coils of yeast transcription factors and endocytic proteins. Our analysis indicated the existence of non-Q amino acids (AAs) differentially enriched or excluded from QRregions in one protein group versus the other. Importantly, when the non-Q AAs from an endocytic protein were exchanged by the ones enriched in QRfrom transcription factors, the resulting protein was unable to localize to the plasma membrane and was instead found in the nucleus. These results indicate that while QRrepeats can efficiently engage in binding, the non-Q AAs provide essential specificity information. We speculate that coupling low complexity regions with information-intensive determinants might be a strategy used in many protein systems involved in different biological processes. Arpita Sen, Wen-Chieh Hsieh, R. Claudio Aguilar |
Proc. IEEE | 3 |