APA   Click to copy
Sangeet, S., Sarkar, R., Mohanty, S. K., & Roy*, S. (2022). Quantifying Mutational Response to Track the Evolution of SARS-CoV-2 Spike Variants: Introducing a Statistical-Mechanics-Guided Machine Learning Method. Journal of Physical Chemistry B, 126(40), 7895–7905. https://doi.org/10.1021/acs.jpcb.2c04574

Chicago/Turabian   Click to copy
Sangeet, Satyam, Raju Sarkar, Saswat K. Mohanty, and Susmita Roy*. “Quantifying Mutational Response to Track the Evolution of SARS-CoV-2 Spike Variants: Introducing a Statistical-Mechanics-Guided Machine Learning Method.” Journal of Physical Chemistry B 126, no. 40 (2022): 7895–7905.

MLA   Click to copy
Sangeet, Satyam, et al. “Quantifying Mutational Response to Track the Evolution of SARS-CoV-2 Spike Variants: Introducing a Statistical-Mechanics-Guided Machine Learning Method.” Journal of Physical Chemistry B, vol. 126, no. 40, ACS Publications, 2022, pp. 7895–905, doi:10.1021/acs.jpcb.2c04574.

@article{sangeet2022a,
  title = {Quantifying Mutational Response to Track the Evolution of SARS-CoV-2 Spike Variants: Introducing a Statistical-Mechanics-Guided Machine Learning Method},
  year = {2022},
  issue = {40},
  journal = {Journal of Physical Chemistry B},
  pages = {7895-7905},
  publisher = {ACS Publications},
  volume = {126},
  doi = {10.1021/acs.jpcb.2c04574},
  author = {Sangeet, Satyam and Sarkar, Raju and Mohanty, Saswat K. and Roy*, Susmita}
}