Oleg S. Matusovsky

An Artificial Intelligence Model for Translating Natural Language into Functional de Novo Proteins

This paper introduces MP4, a transformer-based model that translates natural language into functional de novo proteins, achieving high performance in sequence realism, fold quality, and function alignment.

Oxidation-induced structural changes in actin and myosin evaluated by computational simulation, machine learning modeling and high-speed AFM

This study uses computational simulations and high-speed AFM to analyze structural changes in actin and myosin under oxidative stress, finding that oxidation reduces myosin force generation by altering displacement patterns.