Characterization and engineering of a two-enzyme system for plastics depolymerization BC Knott, E Erickson, MD Allen, JE Gado, R Graham, FL Kearns, I Pardo, ... Proceedings of the National Academy of Sciences 117 (41), 25476-25485, 2020 | 365 | 2020 |
Sourcing thermotolerant poly (ethylene terephthalate) hydrolase scaffolds from natural diversity E Erickson, JE Gado, L Avilán, F Bratti, RK Brizendine, PA Cox, R Gill, ... Nature communications 13 (1), 7850, 2022 | 68 | 2022 |
Enabling microbial syringol conversion through structure-guided protein engineering MM Machovina, SJB Mallinson, BC Knott, AW Meyers, M Garcia-Borràs, ... Proceedings of the National Academy of Sciences 116 (28), 13970-13976, 2019 | 51 | 2019 |
Improving enzyme optimum temperature prediction with resampling strategies and ensemble learning JE Gado, GT Beckham, CM Payne Journal of Chemical Information and Modeling 60 (8), 4098-4107, 2020 | 36 | 2020 |
Machine learning reveals sequence-function relationships in family 7 glycoside hydrolases JE Gado, BE Harrison, M Sandgren, J Ståhlberg, GT Beckham, CM Payne Journal of Biological Chemistry 297 (2), 2021 | 17 | 2021 |
Enzyme kinetics by GH7 cellobiohydrolases on chromogenic substrates is dictated by non‐productive binding: insights from crystal structures and MD simulation T Haataja, JE Gado, A Nutt, NT Anderson, M Nilsson, MH Momeni, ... The FEBS Journal 290 (2), 379-399, 2023 | 4 | 2023 |
Deep learning prediction of enzyme optimum pH JE Gado, M Knotts, AY Shaw, D Marks, NP Gauthier, C Sander, ... bioRxiv, 2023.06. 22.544776, 2023 | 3 | 2023 |
Natural diversity screening, assay development, and characterization of nylon-6 enzymatic depolymerization EL Bell, G Rosetto, MA Ingraham, KJ Ramirez, C Lincoln, RW Clarke, ... Nature Communications 15 (1), 1217, 2024 | 2 | 2024 |
Abstract 1066 Enzymes for plastics deconstruction G Beckham, E Bell, J DesVeaux, J Gado, N Gauthier, N Murphy, ... Journal of Biological Chemistry 300 (3), 2024 | | 2024 |
Polymer degrading enzymes EM Erickson, GT Beckham, JE Gado, JE McGeehan, CM Payne WO Patent 2022/226109 A1, 2022 | | 2022 |
Machine learning and bioinformatic insights into key enzymes for a bio-based circular economy. JE Gado | | 2021 |
Phylogenetic analysis of sequence and structure diversity in glycoside hydrolase family 7 across the eukaryotic tree of life J Gado, M Sandgren, J Ståhlberg, GT Beckham, CM Payne SBFC2020 Symposium on Biomaterials, Fuels and Chemicals, 2020 | | 2020 |
¿ SE ACABARÁ LA CONTAMINACIÓN DEL PLÁSTICO? UNA NUEVA ESPERANZA CON UN COCTAIL DE ENZIMAS BC Knott, E Erickson, MD Allen, JE Gado Los Ojos de la Ciencia 1 (11), 2020 | | 2020 |
Machine Learning Predicts Functional Classes of Family 7 Glycoside Hydrolases with High Accuracy J Gado, A Borisova, J Ståhlberg, CM Payne 2018 AIChE Annual Meeting, 2018 | | 2018 |