https://usb-genviz.herokuapp.com/
This project is in collaboration with Biology Department at Simon Bolivar University.
Lilian Casique and Masun Nabhan Homsi
Effect of gut microbiota biotransformation on dietary tannins and human health implications (link)
The relationships between the biological effects of gut-biotransformed metabolites of tannins and molecular profiling data is largely unexplored. It is therefore desirable to find
ways to bridge the gap between their chemical structures and their potential mechanism of action, thereby facilitating the discovery of localised molecular features that produce the
heterogeneous information of a pharmacological effect. Explainable artificial intelligence (XAI) has been widely used in the drug discovery domain, from molecular design to
macromolecular target identification [8]. In this article, XAI is used to identify chemical features of tannin metabolites to guide the prediction of four trained machine learning (ML)
algorithms for anti-inflammatory, antioxidant, anticancer and anti-atherosclerotic effects.
How do green and black coffee brews and bioactive interaction with gut microbiome affect its health outcomes? Mining evidence from mechanistic studies, metagenomics and clinical trials (link)
In this article, we employed big data of metagenomes to determine enzymes profile associated with coffee consumption.
Cocoa seeds and chocolate products interaction with gut microbiota; mining microbial and functional biomarkers from mechanistic studies, clinical trials and 16S rRNA amplicon sequencing (link)
In this article, we used feature engineering algorithms to mine from 16S rRNA amplicon sequencing the most important signatures of microbial functions associated with cocoa consumption.