Bioinformatics Research & News

Researchers from Sorbonne University and Dauphine University, France, introduced MetagenBERT, a Transformer-based framework for disease prediction directly from raw metagenomic DNA without relying on taxonomic annotations. By achieving strong performance across multiple gut microbiome datasets using fewer reads, the study highlights a scalable, annotation-free approach with potential for robust, cross-cohort metagenomic disease prediction. Why Current…

Predicting how tightly a drug molecule (ligand) binds to its protein target is a cornerstone of modern drug discovery. Yet, this task remains a formidable challenge due to the complexity of 3D molecular structures and the limited availability of high-quality data. In a recent study, Jakub Poziemski and Pawel Siedlecki from the Institute of Biochemistry…