Article Versions Notes

Mieczkowski C, Cheng A, Fischmann T, Hsieh M, Baker J, Uchida M, Raghunathan G, Strickland C, Fayadat-Dilman L. Characterization and Modeling of Reversible Antibody Self-Association Provide Insights into Behavior, Prediction, and Correction. Antibodies. 2021; 10(1):8. https://doi.org/10.3390/antib10010008

Mieczkowski, Carl, Alan Cheng, Thierry Fischmann, Mark Hsieh, Jeanne Baker, Makiko Uchida, Gopalan Raghunathan, Corey Strickland, and Laurence Fayadat-Dilman. 2021. "Characterization and Modeling of Reversible Antibody Self-Association Provide Insights into Behavior, Prediction, and Correction" Antibodies 10, no. 1: 8. https://doi.org/10.3390/antib10010008

Mieczkowski, C., Cheng, A., Fischmann, T., Hsieh, M., Baker, J., Uchida, M., Raghunathan, G., Strickland, C., & Fayadat-Dilman, L. (2021). Characterization and Modeling of Reversible Antibody Self-Association Provide Insights into Behavior, Prediction, and Correction. Antibodies, 10(1), 8. https://doi.org/10.3390/antib10010008