

Alpha-Fold 3: Revolutionizing Drug Design, Protein Stability, Allostery, and Ai-Driven Therapeutics
Abstract
References
Gerasimavicius, L., Liu, X., & Marsh, J. A. (2020). Identification of pathogenic missense mutations using protein stability predictors. Scientific Reports, 10, 15387. https://doi.org/10.1038/s41598-020-72404-
Angeli, D., Salvi, S., & Tedaldi, G. (2020). Genetic predisposition to breast and ovarian cancers: How many and which genes to test? International Journal of Molecular Sciences, 21, 1128. https://doi.org/10.3390/ijms21031128
Buel, G. R., & Walters, K. J. (2022). Can AlphaFold2 predict the impact of missense mutations on structure? Nature Structural & Molecular Biology, 29, 1–2. https://doi.org/10.1038/s41594-021-00714-2
Tian, J., Smith, G., Guo, H., Liu, B., Pan, Z., Wang, Z., Xiong, S., & Fang, R. (2021). Modular machine learning for Alzheimer's disease classification from retinal vasculature. Scientific Reports, 11, 1–11.
Tonkens, R. (2009). A challenge for machine ethics. Minds and Machines, 19(4).
Wiemken, T. L., & Kelley, R. R. (2020). Machine learning in epidemiology and health outcomes research. Annual Review of Public Health, 41, 21–36.
Yanguas-Gil, A., Mane, A., Elam, J. W., Wang, F., Severa, W., Daram, A. R., & Kudithipudi, D. (2019). The insect brain as a model system for low power electronics and edge processing applications. In Proceedings of the 2019 IEEE Space Computing Conference (SCC) (pp. 60–66). IEEE.
Yang, F., Zhang, Q., Ji, X., Zhang, Y., Li, W., Peng, S., & Xue, F. (2022). Machine learning applications in drug repurposing. Interdisciplinary Sciences: Computational Life Sciences, 14, 15–21. https://doi.org/10.1007/s12539-021-00487-8
Khan, B., Fatima, H., Qureshi, A., Kumar, S., Hanan, A., Hussain, J., & Abdullah, S. (2023). Drawbacks of Artificial Intelligence and their potential solutions in the healthcare sector. Biomedical Materials and Devices, 1, 731–738.
Tian, J., Smith, G., Guo, H., Liu, B., Pan, Z., Wang, Z., Xiong, S., & Fang, R. (2021). Modular machine learning for Alzheimer's disease classification from retinal vasculature. Scientific Reports, 11, 1–11.
Refbacks
- There are currently no refbacks.