Journal of Biological Chemistry
Mark R MacRae, Dhenesh Puvanendran, Max AB Haase, Nicolas Coudray, Ljuvica Kolich, Cherry Lam, Minkyung Baek, Gira Bhabha, Damian C Ekiert (2023). Protein-protein interactions in the Mla lipid transport system probed by computational structure prediction and deep mutational scanning. Journal of Biological Chemistry, 299(6), 104744.
Nature
Joseph L Watson, David Juergens, Nathaniel R Bennett, Brian L Trippe, Jason Yim, Helen E Eisenach, Woody Ahern, Andrew J Borst, Robert J Ragotte, Lukas F Milles, Basile IM Wicky, Nikita Hanikel, Samuel J Pellock, Alexis Courbet, William Sheffler, Jue Wang, Preetham Venkatesh, Isaac Sappington, Susana Vázquez Torres, Anna Lauko, Valentin De Bortoli, Emile Mathieu, Sergey Ovchinnikov, Regina Barzilay, Tommi S Jaakkola, Frank DiMaio,Minkyung Baek, David Baker (2023). De novo design of protein structure and function with RFdiffusion. Nature, 620(7976), 1089–1100.
Nature Communications
Nathaniel R Bennett, Brian Coventry, Inna Goreshnik, Buwei Huang, Aza Allen, Dionne Vafeados, Ying Po Peng, Justas Dauparas, Minkyung Baek, Lance Stewart, Frank DiMaio, Steven De Munck, Savvas N Savvides, David Baker (2023). Improving de novo protein binder design with deep learning. Nature Communications, 14(1), 2625.
Nature Methods
Proceedings of the National Academy of Sciences
Proteins: Structure, Function, and Bioinformatics
Ivan Anishchenko#, Minkyung Baek#, Hahnbeom Park#, Naozumi Hiranuma, David E Kim, Justas Dauparas, Sanaa Mansoor, Ian R Humphreys, David Baker (2021). Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14. Proteins: Structure, Function, and Bioinformatics, 89(12), 1722-1733.
# co-first authors
Science
Isaac D Lutz, Shunzhi Wang, Christoffer Norn, Alexis Courbet, Andrew J Borst, Yan Ting Zhao, Annie Dosey, Longxing Cao, Jinwei Xu, Elizabeth M Leaf, Catherine Treichel, Patrisia Litvicov, Zhe Li, Alexander D Goodson, Paula Rivera-Sánchez, Ana-Maria Bratovianu, Minkyung Baek, Neil P King, Hannele Ruohola-Baker, David Baker (2023). Top-down design of protein architectures with reinforcement learning. Science, 380(6642), 266-273.
Jue Wang, Sidney Lisanza, David Juergens, Doug Tischer, Joseph L Watson, Karla M Castro, Robert Ragotte, Amijai Saragovi, Lukas F Milles, Minkyung Baek, Ivan Anishchenko, Wei Yang, Derrick R Hicks, Marc Expòsit, Thomas Schlichthaerle, Jung-Ho Chun, Justas Dauparas, Nathaniel Bennett, Basile IM Wicky, Andrew Muenks, Frank DiMaio, Bruno Correia, Sergey Ovchinnikov, David Baker (2022). Scaffolding protein functional sites using deep learning. Science, 377(6604), 387-394.