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German A. Preciat Gonzalez

dblp:201/5593 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0003-4903-9515ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology
metabolic network reconstruction
0.612022
MetaboAnnotator: an efficient toolbox to annotate metabolites in genome-scale metabolic reconstructions · Bioinform. 2022
Bioinformatics and computational biology › metabolomics
metabolite identification
0.612022
MetaboAnnotator: an efficient toolbox to annotate metabolites in genome-scale metabolic reconstructions · Bioinform. 2022
Bioinformatics and computational biology › systems biology › metabolic network
genome-scale metabolic model
0.212022
MetaboAnnotator: an efficient toolbox to annotate metabolites in genome-scale metabolic reconstructions · Bioinform. 2022

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

chemoinformatics · 0.6
YearPublicationVenuePosition
2022 MetaboAnnotator: an efficient toolbox to annotate metabolites in genome-scale metabolic reconstructions
abstract
MOTIVATION: Genome-scale metabolic reconstructions have been assembled for thousands of organisms using a wide range of tools. However, metabolite annotations, required to compare and link metabolites between reconstructions, remain incomplete. Here, we aim to further extend metabolite annotation coverage using various databases and chemoinformatic approaches. RESULTS: We developed a COBRA toolbox extension, deemed MetaboAnnotator, which facilitates the comprehensive annotation of metabolites with database independent and dependent identifiers, obtains molecular structure files, and calculates metabolite formula and charge at pH 7.2. The resulting metabolite annotations allow for subsequent cross-mapping between reconstructions and mapping of, e.g., metabolomic data. AVAILABILITY AND IMPLEMENTATION: MetaboAnnotator and tutorials are freely available at https://github.com/opencobra. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Ines Thiele, German A. Preciat Gonzalez, Ronan M. T. Fleming
Bioinform.2