APA (7th ed.) Citation

Vinod, R., Amini, A. P., Crawford, L., & Yang, K. K. (2026). Trainable subnetworks reveal insights into structure knowledge organization in protein language models. PLoS Computational Biology, 22(2), 1. https://doi.org/10.1371/journal.pcbi.1013925

Chicago Style (17th ed.) Citation

Vinod, Ria, Ava P. Amini, Lorin Crawford, and Kevin K. Yang. "Trainable Subnetworks Reveal Insights into Structure Knowledge Organization in Protein Language Models." PLoS Computational Biology 22, no. 2 (2026): 1. https://doi.org/10.1371/journal.pcbi.1013925.

MLA (9th ed.) Citation

Vinod, Ria, et al. "Trainable Subnetworks Reveal Insights into Structure Knowledge Organization in Protein Language Models." PLoS Computational Biology, vol. 22, no. 2, 2026, p. 1, https://doi.org/10.1371/journal.pcbi.1013925.