| Macromolecular modeling and design in Rosetta: recent methods and frameworks JK Leman, BD Weitzner, SM Lewis, J Adolf-Bryfogle, N Alam, RF Alford, ... Nature methods 17 (7), 665-680, 2020 | 713 | 2020 |
| Electrocatalytic upgrading of model lignin monomers with earth abundant metal electrodes CH Lam, CB Lowe, Z Li, KN Longe, JT Rayburn, MA Caldwell, ... Green Chemistry 17 (1), 601-609, 2015 | 123 | 2015 |
| Perturbing the energy landscape for improved packing during computational protein design JB Maguire, HK Haddox, D Strickland, SF Halabiya, B Coventry, JR Griffin, ... Proteins: Structure, Function, and Bioinformatics 89 (4), 436-449, 2021 | 122 | 2021 |
| Rapid sampling of hydrogen bond networks for computational protein design JB Maguire, SE Boyken, D Baker, B Kuhlman Journal of chemical theory and computation 14 (5), 2751-2760, 2018 | 60 | 2018 |
| Designed, highly expressing, thermostable dengue virus 2 envelope protein dimers elicit quaternary epitope antibodies ST Kudlacek, S Metz, D Thiono, AM Payne, TTN Phan, S Tian, ... Science advances 7 (42), eabg4084, 2021 | 30 | 2021 |
| XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers JB Maguire, D Grattarola, VK Mulligan, E Klyshko, H Melo PLoS computational biology 17 (9), e1009037, 2021 | 27 | 2021 |
| Computational stabilization of T cell receptors allows pairing with antibodies to form bispecifics K Froning, J Maguire, A Sereno, F Huang, S Chang, K Weichert, ... Nature Communications 11 (1), 2330, 2020 | 23 | 2020 |
| Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks J Koehler Leman, S Lyskov, SM Lewis, J Adolf-Bryfogle, RF Alford, ... Nature communications 12 (1), 6947, 2021 | 17 | 2021 |
| PyRosetta Jupyter notebooks teach biomolecular structure prediction and design KH Le, J Adolf-Bryfogle, JC Klima, S Lyskov, JW Labonte, S Bertolani, ... The Biophysicist 2 (1), 108-122, 2021 | 16 | 2021 |
| Stabilizing proteins, simplified: a Rosetta‐based webtool for predicting favorable mutations DF Thieker, JB Maguire, ST Kudlacek, A Leaver‐Fay, S Lyskov, ... Protein Science 31 (10), e4428, 2022 | 10 | 2022 |
| Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins M Ertelt, VK Mulligan, JB Maguire, S Lyskov, R Moretti, T Schiffner, ... PLOS Computational Biology 20 (3), e1011939, 2024 | 9 | 2024 |
| From protein design to the energy landscape of a cold unfolding protein SV Pulavarti, JB Maguire, S Yuen, JS Harrison, J Griffin, L Premkumar, ... The Journal of Physical Chemistry B 126 (6), 1212-1231, 2022 | 5 | 2022 |
| Proteins comprising t-cell receptor constant domains SJ Demarest, KJ Froning, BA Kuhlman, JB Maguire US Patent App. 17/639,794, 2022 | | 2022 |
| Improving Computational Methods for Designing Polar Protein-Protein Interfaces JB Maguire The University of North Carolina at Chapel Hill, 2020 | | 2020 |
