Demo Data from VLDB 2026 / reviewers in the wild / expert
Juan Francisco Martín
dblp:28/10819
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein structure analysis
protein domain analysis |
0.1 | 1 | 2012 | NRPSsp: non-ribosomal peptide synthase substrate predictor · Bioinform. 2012 |
Bioinformatics and computational biology › protein function prediction › enzyme function prediction
substrate specificity prediction |
0.1 | 1 | 2012 | NRPSsp: non-ribosomal peptide synthase substrate predictor · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
hidden markov model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | NRPSsp: non-ribosomal peptide synthase substrate predictorabstractSUMMARY: Non-ribosomal peptide synthetases (NRPSs) are multi-modular enzymes, which biosynthesize many important peptide compounds produced by bacteria and fungi. Some studies have revealed that an individual domain within the NRPSs shows significant substrate selectivity. The discovery and characterization of non-ribosomal peptides are of great interest for the biotechnological industries. We have applied computational mining methods in order to build a database of NRPSs modules that bind to specific substrates. We have used this database to build a hidden Markov model predictor of substrates that bind to a given NRPS. AVAILABILITY: The database and the predictor are freely available on an easy-to-use website at www.nrpssp.com. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data is available at Bioinformatics online. Carlos Prieto, Carlos García-Estrada, Diego Lorenzana, Juan Francisco Martín |
Bioinform. | 4 |