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Carlos García-Estrada

dblp:01/10819 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0001-5617-9669ORCID · reported

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure analysis
protein domain analysis
0.112012
NRPSsp: non-ribosomal peptide synthase substrate predictor · Bioinform. 2012
Bioinformatics and computational biology › protein function prediction › enzyme function prediction
substrate specificity prediction
0.112012
NRPSsp: non-ribosomal peptide synthase substrate predictor · Bioinform. 2012

Methods — techniques the papers use, named apart from their topics

hidden markov model · 0.1
YearPublicationVenuePosition
2012 NRPSsp: non-ribosomal peptide synthase substrate predictor
abstract
SUMMARY: 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.2