| The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes SMD Seaver, F Liu, Q Zhang, J Jeffryes, JP Faria, JN Edirisinghe, ... Nucleic acids research 49 (D1), D575-D588, 2021 | 280 | 2021 |
| MINEs: open access databases of computationally predicted enzyme promiscuity products for untargeted metabolomics JG Jeffryes, RL Colastani, M Elbadawi-Sidhu, T Kind, TD Niehaus, ... Journal of cheminformatics 7 (1), 44, 2015 | 257 | 2015 |
| ‘Nothing of chemistry disappears in biology’: the Top 30 damage-prone endogenous metabolites C Lerma-Ortiz, JG Jeffryes, AJL Cooper, TD Niehaus, AMK Thamm, ... Biochemical Society Transactions 44 (3), 961-971, 2016 | 99 | 2016 |
| Predicting novel substrates for enzymes with minimal experimental effort with active learning DA Pertusi, ME Moura, JG Jeffryes, S Prabhu, BW Biggs, KEJ Tyo Metabolic engineering 44, 171-181, 2017 | 57 | 2017 |
| Metabolite damage and repair in metabolic engineering design J Sun, JG Jeffryes, CS Henry, SD Bruner, AD Hanson Metabolic engineering 44, 150-159, 2017 | 57 | 2017 |
| A directed-overflow and damage-control N-glycosidase in riboflavin biosynthesis O Frelin, L Huang, G Hasnain, JG Jeffryes, MJ Ziemak, JR Rocca, B Wang, ... Biochemical Journal 466 (1), 137-145, 2015 | 55 | 2015 |
| A pathway for every product? Tools to discover and design plant metabolism JG Jeffryes, SMD Seaver, JP Faria, CS Henry Plant Science 273, 61-70, 2018 | 26 | 2018 |
| Chemical-damage MINE: A database of curated and predicted spontaneous metabolic reactions JG Jeffryes, C Lerma-Ortiz, F Liu, A Golubev, TD Niehaus, ... Metabolic engineering 69, 302-312, 2022 | 16 | 2022 |
| The ModelSEED Database for the integration of metabolic annotations and the reconstruction, comparison, and analysis of metabolic models for plants, fungi, and microbes S Seaver, F Liu, Q Zhang, J Jeffryes, JP Faria, J Edirisinghe, M Mundy, ... bioRxiv, 2020.03. 31.018663, 2020 | 6 | 2020 |
| Metabolic in silico network expansions to predict and exploit enzyme promiscuity J Jeffryes, J Strutz, C Henry, KEJ Tyo Microbial Metabolic Engineering: Methods and Protocols, 11-21, 2019 | 6 | 2019 |
| The ModelSEED Database for the integration of metabolic annotations and the reconstruction, comparison, and analysis of metabolic models for plants, fungi, and microbes Q Zhang, J Jeffryes, JP Faria, JN Edirisinghe, M Mundy, N Chia, E Noor, ... Nucleic Acids Res 49, D575-D588, 2021 | 1 | 2021 |
| Improving automated model reconstruction across phylogenetically diverse genome-scale metabolic models JP Faria, JN Edirisinghe, S Seaver, FAW Liu, P Weisenhorn, JG Jeffryes, ... | | 2018 |
| Automated pathway curation and improving metabolic model reconstruction based on phylogenetic analysis of pathway conservation JN Edirisinghe, J Faria, FAW Liu, JRC Xavier, S Seaver, P Weisenhorn, ... | | 2017 |
| Detection of novel metabolites and enzyme functions through in silico expansion of metabolic models J Jeffryes, C Lerma-Ortiz, A Cooper, T Niehaus, A Thamm, O Frelin, ... ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 251, 2016 | | 2016 |
| Understanding and exploiting enzyme promiscuity for metabolic engineering D Pertusi, J Jeffryes, K Tyo ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 251, 2016 | | 2016 |
| Genome to Structure: From Multiple Sequence Alignment to Virtual Ligand Screening Using Co-Evolutionary Protein-Residue Contact-Prediction in KBase A Sedova, JG Jeffryes, L Petridis, BH Davison, CS Henry, J Mitchell | | |
Christopher HenryComputational Biologist, Argonne National LaboratoryVerified email at mcs.anl.gov
