Peddinti V. Gopalacharyulu

ActSeekN: A Structural-Motif-Based Pipeline for Interpretable Enzyme Function Annotation

ActSeekN improves enzyme function annotation by using structural motifs from AlphaFold and UniProt data, outperforming existing methods in yeast, human, and Trichoderma reesei proteomes.

Reconstruction of compartmentalized genome-scalemetabolic models using deep learning for over 800fungi

The paper develops a deep learning method to reconstruct compartmentalized genome-scale metabolic models for over 800 fungi, improving predictions of metabolic phenotypes and phylogenetic clustering.