Biosystems design by machine learning MJ Volk, I Lourentzou, S Mishra, LT Vo, C Zhai, H Zhao ACS synthetic biology 9 (7), 1514-1533, 2020 | 102 | 2020 |
Metabolic engineering: methodologies and applications MJ Volk, VG Tran, SI Tan, S Mishra, Z Fatma, A Boob, H Li, P Xue, ... Chemical reviews 123 (9), 5521-5570, 2022 | 61 | 2022 |
Machine learning-enabled retrobiosynthesis of molecules T Yu, AG Boob, MJ Volk, X Liu, H Cui, H Zhao Nature Catalysis 6 (2), 137-151, 2023 | 55 | 2023 |
Design and application of a kinetic model of lipid metabolism in Saccharomyces cerevisiae S Mishra, Z Wang, MJ Volk, H Zhao Metabolic Engineering 75, 12-18, 2023 | 10 | 2023 |
Biosystems design by machine learning. ACS Synth. Biol. 9, 1514–1533 MJ Volk, I Lourentzou, S Mishra, LT Vo, C Zhai, H Zhao | 10 | 2020 |
Contrasting community assembly forces drive microbial structural and potential functional responses to precipitation in an incipient soil system A Sengupta, THM Volkmann, RE Danczak, JC Stegen, K Dontsova, ... Frontiers in Microbiology 12, 754698, 2021 | 6 | 2021 |
A Generative Model of S. Cerevisiae for the Design of Multiplexed knockout Mutants M Volk, H Zhao 2023 AIChE Annual Meeting, 2023 | | 2023 |
Developing a Machine Learning Model for Fitness Prediction in Multiplex Knockout S. Cerevisiae mutants M Volk, H Zhao 2022 AIChE Annual Meeting, 2022 | | 2022 |
TriGORank: A Gene Ontology Enriched Learning-to-Rank Framework for Trigenic Fitness Prediction S Labhishetty, I Lourentzou, MJ Volk, S Mishra, H Zhao, C Zhai 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | | 2021 |
HIGH EFFICIENCY BREWERY-DISTILLERY HYBRID MJ Volk The University of Arizona., 2018 | | 2018 |
Carbon and nitrogen accumulation and fluxes on Landscape Evolution Observatory (LEO) slopes K Dontsova, M Volk, C Webb, E Hunt, MM Tfaily, JLM Van Haren, ... AGU Fall Meeting Abstracts 2017, B43A-2114, 2017 | | 2017 |