Sergey Ovchinnikov

Sergey Ovchinnikov is a Fellow at the Massachusetts Institute of Technology, affiliated with the Department of Biology. His research focuses on protein structure and evolution, employing methods such as phylogenetic inference, protein structure prediction, and deep learning to address evolutionary questions across multiple scales. He is also involved in protein design and energy-based models. Ovchinnikov's work includes developing tools for predicting small-molecule binding sites and advancing protein language models. His research has been published in prominent journals such as Science, Nature, and Cell.

Sergey Ovchinnikov is a researcher in biology with a focus on computational methods for protein structure prediction and design. His work includes developing tools like ColabFold to make protein folding accessible, as well as advancing neural network approaches for predicting protein structures and interactions. He has contributed to the field through research on de novo protein design, residue–residue contact prediction, and the application of AlphaFold in structural biology. His studies also explore protein function, interactions, and the use of evolutionary information for modeling and designing proteins. His research emphasizes the integration of deep learning and structural biology to solve complex problems in molecular design and analysis.