High‐throughput molecular simulations of SARS‐CoV‐2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression.

MLA

Ovchinnikov, Victor, and Martin Karplus. “High‐throughput Molecular Simulations of SARS‐CoV‐2 Receptor Binding Domain Mutants Quantify Correlations between Dynamic Fluctuations and Protein Expression.” Journal of Computational Chemistry, vol. 46, no. 1, Jan. 2025, pp. 1–9. EBSCOhost, https://doi.org/10.1002/jcc.27512.

APA

Ovchinnikov, V., & Karplus, M. (2025). High‐throughput molecular simulations of SARS‐CoV‐2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression. Journal of Computational Chemistry, 46(1), 1–9. https://doi.org/10.1002/jcc.27512

Chicago

Ovchinnikov, Victor, and Martin Karplus. 2025. “High‐throughput Molecular Simulations of SARS‐CoV‐2 Receptor Binding Domain Mutants Quantify Correlations between Dynamic Fluctuations and Protein Expression.” Journal of Computational Chemistry 46 (1): 1–9. doi:10.1002/jcc.27512.