| Accurate prediction of protein structures and interactions using a three-track neural network M Baek, F DiMaio, I Anishchenko, J Dauparas, S Ovchinnikov, GR Lee, ... Science 373 (6557), 871-876, 2021 | 3325 | 2021 |
| De novo design of protein structure and function with RFdiffusion JL Watson, D Juergens, NR Bennett, BL Trippe, J Yim, HE Eisenach, ... Nature 620 (7976), 1089-1100, 2023 | 285 | 2023 |
| Scaffolding protein functional sites using deep learning J Wang, S Lisanza, D Juergens, D Tischer, JL Watson, KM Castro, ... Science 377 (6604), 387-394, 2022 | 231 | 2022 |
| Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models JL Watson, D Juergens, NR Bennett, BL Trippe, J Yim, HE Eisenach, ... BioRxiv, 2022.12. 09.519842, 2022 | 156 | 2022 |
| Galactose metabolic genes in yeast respond to a ratio of galactose and glucose R Escalante-Chong, Y Savir, SM Carroll, JB Ingraham, J Wang, CJ Marx, ... Proceedings of the National Academy of Sciences 112 (5), 1636-1641, 2015 | 135 | 2015 |
| Natural variation in preparation for nutrient depletion reveals a cost–benefit tradeoff J Wang, E Atolia, B Hua, Y Savir, R Escalante-Chong, M Springer PLoS biology 13 (1), e1002041, 2015 | 133 | 2015 |
| A chromatin-based mechanism for limiting divergent noncoding transcription S Marquardt, R Escalante-Chong, N Pho, J Wang, LS Churchman, ... Cell 157 (7), 1712-1723, 2014 | 124 | 2014 |
| Large-effect beneficial synonymous mutations mediate rapid and parallel adaptation in a bacterium D Agashe, M Sane, K Phalnikar, GD Diwan, A Habibullah, ... Molecular Biology and Evolution 33 (6), 1542-1553, 2016 | 72 | 2016 |
| Design of proteins presenting discontinuous functional sites using deep learning D Tischer, S Lisanza, J Wang, R Dong, I Anishchenko, LF Milles, ... Biorxiv, 2020.11. 29.402743, 2020 | 41 | 2020 |
| Deep learning methods for designing proteins scaffolding functional sites J Wang, S Lisanza, D Juergens, D Tischer, I Anishchenko, M Baek, ... BioRxiv, 2021.11. 10.468128, 2021 | 34 | 2021 |
| Generalized biomolecular modeling and design with RoseTTAFold All-Atom R Krishna, J Wang, W Ahern, P Sturmfels, P Venkatesh, I Kalvet, GR Lee, ... Science, eadl2528, 2024 | 30 | 2024 |
| Decoupling transcription factor expression and activity enables dimmer switch gene regulation C Ricci-Tam, I Ben-Zion, J Wang, J Palme, A Li, Y Savir, M Springer Science 372 (6539), 292-295, 2021 | 27 | 2021 |
| Polymorphisms in the yeast galactose sensor underlie a natural continuum of nutrient-decision phenotypes KB Lee, J Wang, J Palme, R Escalante-Chong, B Hua, M Springer PLoS genetics 13 (5), e1006766, 2017 | 23 | 2017 |
| Improving protein expression, stability, and function with ProteinMPNN KH Sumida, R Núñez-Franco, I Kalvet, SJ Pellock, BIM Wicky, LF Milles, ... Journal of the American Chemical Society 146 (3), 2054-2061, 2024 | 12 | 2024 |
| Enzyme engineering and in vivo testing of a formate reduction pathway J Wang, K Anderson, E Yang, L He, ME Lidstrom Synthetic Biology 6 (1), ysab020, 2021 | 10 | 2021 |
| Protein sequence design by deep learning J Wang Nature Computational Science 2 (7), 416-417, 2022 | 7 | 2022 |
| Variation in the modality of a yeast signaling pathway is mediated by a single regulator J Palme, J Wang, M Springer Elife 10, e69974, 2021 | 4 | 2021 |
| Giving E. coli a newfound appetite for formate ME Lidstrom, J Wang Nature Metabolism 2 (3), 219-220, 2020 | 1 | 2020 |
| Protein Design Using Structure-Prediction Networks: AlphaFold and RoseTTAFold as Protein Structure Foundation Models J Wang, JL Watson, SL Lisanza Cold Spring Harbor Perspectives in Biology, a041472, 2024 | | 2024 |
| Fitness Tradeoffs, Bimodality, and the Genetics of Natural Variation in Glucose-galactose Sensing Across Saccharomyces cerevisiae J Wang Harvard University, 2017 | | 2017 |
Michael Springerharvard medical schoolVerified email at hms.harvard.edu
