Yeast MetaboliNER

Yeast MetaboliNER identifies metabolite names in yeast-related scientific literature and associates them with chemical structures to assemble and validate a reported Saccharomyces cerevisiae metabolome.

Key Features:

• Automated Metabolite Identification: Recognizes metabolite names within yeast-related literature using text-mining techniques.
• Structure Association: Associates identified metabolite names with chemical structures wherever possible.
• Integration with ChemSpider: Links identified metabolites to ChemSpider for structure identification and suggests additions to ChemSpider when structure identification is unsuccessful.
• High Precision and Recall: Demonstrates an f-score of 78.49 and a precision of 83.02 based on evaluation with ten-fold cross-validation on a manually annotated corpus.
• Application to Saccharomyces cerevisiae: Applied specifically to define the reported metabolome of the model organism Saccharomyces cerevisiae.

Scientific Applications:

• Metabolic Network Modeling: Provides a curated list of metabolites and associated structures to support modeling and simulation of yeast metabolic networks.
• Research and Development: Aids target identification for drug development, characterization of metabolic pathways, and exploration of yeast applications in biotechnology.

Methodology:

Uses text-mining methods tailored for metabolite recognition and is trained and validated on a manually annotated corpus of 296 abstracts using ten-fold cross-validation.