FeigLab

Welcome to the Feig Lab

We use computers to study biology at the molecular level.

Recent Highlight

Predictions of pKa shifts for acidic (left) and basic (right) amino acids in groEL via machine learning.

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Recent Publications

Accurate Predictions of Molecular Properties of Proteins via Graph Neural Networks and Transfer Learning

S. Wozniak, G. Janson, M. Feig

J. Chem. Theory Comput. (2025)

10.1021/acs.jctc.4c01682

Controlled Enzyme Cargo Loading in Engineered Bacterial Microcompartment Shells

N. M. Tefft, Y. Wang, A. Jussupow, M. Feig, M. A. TerAvest

Biochemistry (2025) 64, 1285-1292

10.1021/acs.biochem.4c00709

Structure Characterization of Bacterial Microcompartment Shells via X-ray Scattering and Coordinate Modeling: Evidence for Adventitious Capture of Cytoplasmic Proteins

X. Zuo, A. Jussupow, N. S. Ponomarenko, T. D. Grant, N. M. Tefft, N. S. Yadav, K. L. Range, C. Y. Ralston, M. A. TerAvest, M. Sutter, C. A. Kerfeld, J. V. Vermaas, M. Feig, D. M. Tiede

ACS Appl. Bio Mater. (2025) 8, 2090-2103

10.1021/acsabm.4c01621

COCOMO2: A Coarse-Grained Model for Interacting Folded and Disordered Proteins

A. Jussupow, D. Bartley, L. J. Lapidus, M. Feig

J. Chem. Theory Comput. (2025), 21, 2095–2107

10.1021/acs.jctc.4c01460

Diffusion and Viscosity in Mixed Protein Solutions

S. Wozniak, M. Feig

J. Phys. Chem. B (2024), 128, 11676–11693

10.1021/acs.jpcb.4c06877

Welcome to the Feig Lab

Recent Highlight

Temperature-dependent Protein Conformation Landscapes via ML

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Recent Publications