Valentyn Bezshapkin

TM-Vec 2s improves protein remote homology detection by being faster and more accurate than previous methods, enabling efficient large-scale database searches.

The paper introduces metagenomic-deepFRI, a framework that integrates protein structure models into functional annotation pipelines, improving GO term prediction confidence and coverage in metagenomic datasets.

The paper develops CRISPR-PAMdb and CICERO to uncover PAM diversity in Cas9 proteins, enabling better CRISPR tool design.

The paper develops a metagenome analysis workflow combining de novo genome reconstruction, taxonomic profiling, and deep learning-based functional annotation, showing improved coverage over existing methods.