

Sergey Ovchinnikov uses phylogenetic inference, protein structure prediction/determination, protein design, deep learning, energy-based models, and differentiable programming to tackle evolutionary questions at environmental, organismal, genomic, structural, and molecular scales, with the aim of developing a unified model of protein evolution.
Ferroptosis is an iron-dependent form of cell death with profound implications in human health and disease. In the context of cancer, the use of ferroptosis inducers to target subpopulations of highly metastatic and therapy-resistant cancer cells has garnered much excitement over the last few years. However, to gain a comprehensive understanding of the full therapeutic potential of ferroptosis, our research focuses on (i) uncovering the molecular factors affecting ferroptosis susceptibility, (ii) studying its impact on the tumor microenvironment, and (iii) developing innovative ways to modulate ferroptosis resistance in vivo. We employ a multidisciplinary approach, combining functional genomics, metabolomics, bioengineering, and a range of in vitro and in vivo models to advance our understanding in this domain and to translate our findings into effective therapies.