Alexander Goncearenco

PINDER provides a benchmark dataset for evaluating protein-protein interaction docking models, revealing overestimation of performance on leaky test sets and showing improvements with interface-clustered training.

This paper reviews recent advances in deep learning for protein design, presents a practical pipeline for sequence-to-property analysis, and suggests a generated protein sequence for biosynthetic applications.

This paper develops EpiClass, a methylation density-based classifier that improves the performance of blood-based DNA methylation biomarkers in detecting ovarian cancer by leveraging locus-specific epigenetic heterogeneity.