[1] The Nobel Prize in Chemistry 2024, Retrieved October 9, 2024, from https://www.nobelprize.org/prizes/chemistry/2024/summary/
[2] 2023 Winners. Retrieved October 2, 2023, from https://laskerfoundation.org/winners/2023-winners/
[3] Google's DeepMind predicts 3D shapes of proteins. Retrieved October 2, 2023, from https://www.theguardian.com/science/2018/dec/02/google-deepminds-ai-program-alphafold-predicts-3d-shapes-of-proteins
[4] DeepMind and EMBL release the most complete database ofpredicted 3D structures of human proteins. Retrieved October 2, 2023, from https://www.ebi.ac.uk/about/news/press-releases/alphafold-database-launch
[5] AlphaFold reveals the structure of the protein universe. Retrieved October 2, 2023, from https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe
[6] 2023 CANADA GAIRDNER AWARD WINNERS ANNOUNCED. Retrieved October 2, 2023, from https://www.gairdner.org/resource-hub/2023-canada-gairdner-award-winners-announced
[7] Alphabet’s AI predicted the structure of 200 million proteins. Can it really speed up drug discovery? Retrieved October 2, 2023, from https://www.statnews.com/2022/10/13/can-alphabet-alphafold-really-speed-up-drug-discovery/
[8] Weijie Zhao, Chu Wang, Protein designer David Baker: I like doing things that seem like magic, National Science Review, Volume 7, Issue 8, August 2020, Pages 1410–1412, https://doi.org/10.1093/nsr/nwaa071
[9] WINNERS OF THE 2021 BREAKTHROUGH PRIZES IN LIFE SCIENCES, FUNDAMENTAL PHYSICS AND MATHEMATICS ANNOUNCED. Retrieved September 10, 2020, from https://breakthroughprize.org/News/60
[10] Scientists are finally learning how to design proteins from scratch. Drug development may never be the same. Retrieved June 24, 2022 from https://endpts.com/scientists-are-finally-learning-how-to-design-proteins-from-scratch-drug-development-may-never-be-the-same/
[11] Rosetta Commons- Overview. Retrieved June 24, 2022 from https://www.rosettacommons.org/software
[12] Baek, Minkyung et al. (2021) Accurate prediction of protein structures and interactions using a three-track neural network. Science. vol. 373,6557: 871-876. DOI:10.1126/science.abj8754
[13] RoseTTAFold: Accurate protein structure prediction accessible to all. Retrieved June 28, 2022 from https://www.ipd.uw.edu/2021/07/rosettafold-accurate-protein-structure-prediction-accessible-to-all/#:~:text=RoseTTAFold%20is%20a%20%E2%80%9Cthree-track%E2%80%9D%20neural%20network%2C%20meaning%20it,one%20another%2C%20and%20a%20protein%E2%80%99s%20possible%20three-dimensional%20structure.
[14] The protein design revolution. Retrieved June 30, 2022 from https://www.ipd.uw.edu/applications/
[15] Pan, Xingjie, and Tanja Kortemme. (2021) Recent advances in de novo protein design: Principles, methods, and applications. The Journal of biological chemistry 296: 100558. DOI:10.1016/j.jbc.2021.100558
[16] Mirdita, Milot et al. (2022) ColabFold: making protein folding accessible to all. Nature methods 19,6: 679-682. DOI:10.1038/s41592-022-01488-1
[17] Mohan, Kritika et al. (2019) Topological control of cytokine receptor signaling induces differential effects in hematopoiesis. Science 364,6442: eaav7532. DOI:10.1126/science.aav7532
[18] Silva, Daniel-Adriano et al. (2019) De novo design of potent and selective mimics of IL-2 and IL-15. Nature 565,7738: 186-191. DOI:10.1038/s41586-018-0830-7
[19] Khatib F, DiMaio F; Foldit Contenders Group; Foldit Void Crushers Group; Cooper S, Kazmierczyk M, Gilski M, Krzywda S, Zabranska H, Pichova I, Thompson J, Popović Z, Jaskolski M, Baker D. Crystal structure of a monomeric retroviral protease solved by protein folding game players. Nat Struct Mol Biol. 2011 Sep 18;18(10):1175-7. doi: 10.1038/nsmb.2119. Erratum in: Nat Struct Mol Biol. 2012 Mar;19(3):364. PMID: 21926992; PMCID: PMC3705907.