Oleg V. Krokhin

Zero-shot retention time prediction for unseen post-translational modifications with molecular structure encodings

The paper introduces MoSTERT and MoSTERT-2S, transformer-based models for zero-shot retention time prediction of peptides with unseen post-translational modifications, achieving state-of-the-art performance on an external dataset.

The phage protein paratox is a multifunctional metabolic regulator of Streptococcus

This study identifies Prx as a multifunctional metabolic regulator in Streptococcus pyogenes that interacts with DNA-binding proteins and transcriptional regulators, contributing to phage genome maintenance and pathogenicity.

Deep learning from harmonized peptide libraries enables retention time prediction of diverse post translational modifications

The paper introduces Chronologer, a deep learning tool for accurate peptide retention time prediction, outperforming existing methods by leveraging harmonized datasets of post-translational modifications.

Sequence-specific model for predicting peptide collision cross-section values in proteomic ion mobility spectrometry

The paper develops a sequence-specific model to predict peptide collision cross-section values using amino-acid sequence and charge state information from proteomic data.