Valentyn Petrychenko

The paper defines an extended translation initiation sequence (eTIS) and shows that a deep-learning model trained on eTIS features accurately predicts translation initiation, revealing that the Kozak sequence is not optimal and identifying conserved nucleotides that enhance initiation efficiency.

The paper identifies a novel antibiotic resistance mechanism where fusA mutations slow ribosome movement when aminoglycosides are bound, preventing error cluster formation and maintaining bacterial growth.

The paper characterizes conformational changes in human 48S translation initiation complexes during start codon recognition using cryo-EM and kinetic methods.

This study reveals how GTP hydrolysis by EF-G drives ribosome-tRNA movement through structural changes visualized by cryo-EM.