Spotlight on Antibodies is a podcast from ⁠Biointron⁠, where we bring you the latest antibody industry trends. This July, recent research includes computational tools for nanodiscs, antibody-drug conjugate (ADC) development, and antibody-antigen research.

References:

1. Yao, X., & Thomson, C. A. (2025). Review: Membrane protein nanodiscs for antibody discovery. Current Opinion in Structural Biology, 94, 103104. https://doi.org/10.1016/j.sbi.2025.103104
2. Baskakova, K. O., Kuzmichev, P. K., & Karbyshev, M. S. (2024). Advanced applications of Nanodiscs-based platforms for antibodies discovery. Biophysical Chemistry, 313, 107290. https://doi.org/10.1016/j.bpc.2024.107290
3. Dong, Y., Tang, H., Dai, H., Zhao, H., & Wang, J. (2024). The application of nanodiscs in membrane protein drug discovery & development and drug delivery. Frontiers in Chemistry, 12, 1444801. https://doi.org/10.3389/fchem.2024.1444801
4. Kuai, R., Yuan, W., Son, S., Nam, J., Xu, Y., Fan, Y., Schwendeman, A., & Moon, J. J. (2018). Elimination of established tumors with nanodisc-based combination chemoimmunotherapy. Science Advances. https://doi.org/aao1736
5. Noriega, H. A., & Wang, X. S. (2025). AI-driven innovation in antibody-drug conjugate design. Frontiers in Drug Discovery, 5, 1628789. https://doi.org/10.3389/fddsv.2025.1628789
6. Croitoru, A., Orr, A. A., & MacKerell, A. D. (2025). Harnessing computational technologies to facilitate antibody–drug conjugate development. Nature Chemical Biology, 21(8), 1138-1147. https://doi.org/10.1038/s41589-025-01950-z
7. Chen, L., Li, B., Chen, Y., Lin, M., Zhang, S., Li, C., Pang, Y., & Wang, L. (2025). ADCNet: A unified framework for predicting the activity of antibody-drug conjugates. Briefings in Bioinformatics, 26(3). https://doi.org/10.1093/bib/bbaf228
8. Su, A., Luo, Y., Zhang, C., & Duan, H. (2025). Linker-GPT: Design of Antibody-drug conjugates linkers with molecular generators and reinforcement learning. Scientific Reports, 15(1), 1-15. https://doi.org/10.1038/s41598-025-05555-3
9. Sato, K., Uehara, S., Tsugita, A., Ishii, M., Ishiyama, S., Maejima, A., Nakahara, I., Nazuka, M., Matsui, T., Christos, G., Yokoyama, T., Kumagai, I., Makabe, K., Asano, R., & Tanaka, Y. (2025). Bispecific antibody-antigen complex structures reveal activity enhancement by domain rearrangement. Cell reports, 44(7), 115965. https://doi.org/10.1016/j.celrep.2025.115965
10. Myung, Y., Pires, D. E., & Ascher, D. B. (2023). Understanding the complementarity and plasticity of antibody–antigen interfaces. Bioinformatics, 39(7). https://doi.org/10.1093/bioinformatics/btad392
11. Heirene, L., Byrne, H., Sepp, A., Gaffney, E., & Yates, J. (2025). Understanding antibody-target antigen interactions and the avidity effect using mathematical modelling. Journal of the Royal Society, Interface, 22(228), 20240710. https://doi.org/10.1098/rsif.2024.0710
12. Torrents de la Peña, A., Sewall, L. M., de Paiva Froes Rocha, R., Jackson, A. M., Pratap, P. P., Bangaru, S., Cottrell, C. A., Mohanty, S., Shaw, A. C., & Ward, A. B. (2023). Increasing sensitivity of antibody-antigen interactions using photo-cross-linking. Cell reports methods, 3(6), 100509. https://doi.org/10.1016/j.crmeth.2023.100509
13. Manion, A., Brooks, T. M., & Brooks, C. L. (2025). Antibody-Antigen Epitope Mapping by X-Ray Crystallography. Methods in molecular biology (Clifton, N.J.), 2937, 15–31. https://doi.org/10.1007/978-1-0716-4591-8_2