Socorro Gama‐Castro

The paper analyzes the sources of evidence for transcription factor regulatory interactions in E. coli K-12, classifies them into seven groups, and evaluates confidence levels of interactions using high-throughput data.

Lisen&Curate is a system that aids manual curation of bacterial transcription initiation regulation by integrating text mining and sentence similarity metrics to accelerate literature review and knowledge extraction.

The paper introduces L-Regulon, a soft-curation approach using semantic enrichment to improve knowledge extraction from scientific literature, specifically applied to RegulonDB data.

The paper creates a similarity corpus for microbial transcriptional regulation sentences, evaluated by curators to aid in biomedical literature curation.

The paper introduces MCO, an ontology for standardized annotation of microbial growth conditions, enabling comparison of gene expression data across experiments.

The paper expands RegulonDB to integrate high-throughput binding data with existing knowledge on gene regulation in E. coli K-12, enhancing its comprehensiveness and utility.