Shakhnovich Biophysics Lab

 

  • The Shakhnovich Lab currently seeks experimental research assistants for high-throughput screening and protein biophysical characterization, working closely with the lab’s machine learning team. Offer will be granted on rolling basis until positions are filled. Contact shakhnovichlab@gmail.com and cc shakhnovich@chemistry.harvard.edu.
  • The Shakhnovich lab is seeking talented students working on the interface of machine learning, and protein evolution over the 2026 summer/academic year. See more information here.  Offer will be granted on rolling basis until positions are filled.
  • The Shakhnovich lab is seeking experimental research assistants working on protein folding and conformational dynamics, and their effects on evolution for 2026 summer/academic year. See more information here.

The Shakhnovich lab is accepting PhD and rotational students. Please contact Prof. Shakhnovich via shakhnovich@chemistry.harvard.edu.

 


The Shakhnovich Biophysics Lab works on a broad range of topics from protein folding, functional dynamics, drug discovery to molecular evolution and origins of life. Our approach integrates theoretical, computational and experimental work. Here is a poster that summarize our recent research efforts, also see our Research page for more details.

 

lab_poster

A lecture by Prof. Shakhnovich highlighting research efforts is available here.

 

Shakhnovich_Cover

"Coral Reef" model of active cytoplasm: Protein Quality Control (PQC) shapes fitness effects of mutations. Components that belong to opposite branches of PQC – chaperonins (GroEL) and ATP-dependent proteases (Lon) – act on equilibrium Molten Globule folding intermediate of an essential protein (DHFR) in E. coli cytoplasm. Changes in the chromosomal folA gene encoding DHFR were introduced by making point mutations or by replacing the the gene altogether by its orthologs from a range of bacterial species. Relative fitness of the folA mutant and orthologous-replacement E coli strains is determined by the amount of soluble DHFR in their cytoplasm. The abundance of soluble DHFR is established in dynamic steady-state where production and GroEL-assisted folding is balanced by proteolytic digestion of DHFR in its Molten Globule state by the ATP-dependent protease Lon.

 

 

 

 

 

 

 

 

 

 

 

 

Recent Publications

2026

Bigot, A., Bhasin, H., Park, C. F., Shakhnovich, E. & Wang, D. Viral Proteins Reveal Geometry of Protein Language Models. (2026) doi:10.48550/arXiv.2606.12609.
Bigot, A., Bhasin, H., Park, C. F., Shakhnovich, E. & Wang, D. Viral Proteins Reveal Geometry of Protein Language Models. (2026) doi:10.48550/arXiv.2606.12609.

2025

Wang, S., Bitran, A., Samatova, E., Shakhnovich, E. I. & Rodnina, M. , V. Cotranslational Protein Folding Through Non-Native Structural Intermediates. bioRxiv : the preprint server for biology (2025) doi:10.1101/2025.04.09.648002.
Wang, S., Bitran, A., Samatova, E., Shakhnovich, E. I. & Rodnina, M. , V. Cotranslational Protein Folding Through Non-Native Structural Intermediates. bioRxiv : the preprint server for biology (2025) doi:10.1101/2025.04.09.648002.
Mohanty, V. & Shakhnovich, E. I. Biophysical fitness landscape design traps viral evolution. bioRxiv : the preprint server for biology (2025) doi:10.1101/2025.03.30.646233.
Mohanty, V. & Shakhnovich, E. I. Biophysical fitness landscape design traps viral evolution. bioRxiv : the preprint server for biology (2025) doi:10.1101/2025.03.30.646233.
Huot, M., Wang, D., Liu, J. & Shakhnovich, E. Few-Shot Viral Variant Detection via Bayesian Active Learning and Biophysics. bioRxiv : the preprint server for biology (2025) doi:10.1101/2025.03.12.642881.
Huot, M., Wang, D., Liu, J. & Shakhnovich, E. Few-Shot Viral Variant Detection via Bayesian Active Learning and Biophysics. bioRxiv : the preprint server for biology (2025) doi:10.1101/2025.03.12.642881.
Mondal, S. & Shakhnovich, E. The Origin of the Ionic-strength Dependent Reentrant Behavior in Liquid-Liquid Phase Separation of Neutral IDPs. bioRxiv : the preprint server for biology (2025) doi:10.1101/2025.03.20.644249.
Mondal, S. & Shakhnovich, E. The Origin of the Ionic-strength Dependent Reentrant Behavior in Liquid-Liquid Phase Separation of Neutral IDPs. bioRxiv : the preprint server for biology (2025) doi:10.1101/2025.03.20.644249.
Sabbarini, I. M. et al. A ribosome-associating chaperone mediates GTP-driven vectorial folding of nascent eEF1A. Nature communications 16, 1277 (2025).
Sabbarini, I. M. et al. A ribosome-associating chaperone mediates GTP-driven vectorial folding of nascent eEF1A. Nature communications 16, 1277 (2025).
Arenas, C. D., Alvarez, M., Wilson, R. H., Shakhnovich, E. I. & Ogbunugafor, B. Protein Quality Control is a Master Modulator of Molecular Evolution in Bacteria. Genome biology and evolution 17, (2025).
Arenas, C. D., Alvarez, M., Wilson, R. H., Shakhnovich, E. I. & Ogbunugafor, B. Protein Quality Control is a Master Modulator of Molecular Evolution in Bacteria. Genome biology and evolution 17, (2025).
Chattaraj, A. & Shakhnovich, E. I. Separation of sticker-spacer energetics governs the coalescence of metastable condensates. Biophysical journal 124, 428–439 (2025).
Chattaraj, A. & Shakhnovich, E. I. Separation of sticker-spacer energetics governs the coalescence of metastable condensates. Biophysical journal 124, 428–439 (2025).

2024

Chattaraj, A. & Shakhnovich, E. I. Separation of sticker-spacer energetics governs the coalescence of metastable condensates. bioRxiv : the preprint server for biology (2024) doi:10.1101/2023.10.03.560747.
Chattaraj, A. & Shakhnovich, E. I. Separation of sticker-spacer energetics governs the coalescence of metastable condensates. bioRxiv : the preprint server for biology (2024) doi:10.1101/2023.10.03.560747.
Wang, Y. et al. Entropy Changes in Water Networks Promote Protein Denaturation. bioRxiv : the preprint server for biology (2024) doi:10.1101/2024.06.12.598657.
Wang, Y. et al. Entropy Changes in Water Networks Promote Protein Denaturation. bioRxiv : the preprint server for biology (2024) doi:10.1101/2024.06.12.598657.
Chattaraj, A. & Shakhnovich, E. I. Multi-condensate state as a functional strategy to optimize the cell signaling output. Nature communications 15, 6268 (2024).
Chattaraj, A. & Shakhnovich, E. I. Multi-condensate state as a functional strategy to optimize the cell signaling output. Nature communications 15, 6268 (2024).
Wang, D., Huot, M., Mohanty, V. & Shakhnovich, E. I. Biophysical principles predict fitness of SARS-CoV-2 variants. Proceedings of the National Academy of Sciences of the United States of America 121, e2314518121 (2024).
Wang, D., Huot, M., Mohanty, V. & Shakhnovich, E. I. Biophysical principles predict fitness of SARS-CoV-2 variants. Proceedings of the National Academy of Sciences of the United States of America 121, e2314518121 (2024).