Jacek Sroka

BATTLE-AMP benchmarks antimicrobial peptide predictors using MIC data, showing that models trained on MIC data outperform binary classifiers and highlighting limitations in distinguishing active from inactive peptides.

The paper introduces a fuzzy semantic scoring function to assess protein binding affinity using Gene Ontology graphs and applies it to a human PPI network of 180 million potential interactions.

This paper introduces HydrAMP, a deep generative model for creating potent antimicrobial peptides, which outperforms existing methods and validates nine new peptides in lab tests.

PartSeg is a tool for automated segmentation and reconstruction of 3D microscopy images, designed for cell nucleus analysis with a user-friendly interface and bulk processing capabilities.