Detalhe da pesquisa
1.
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale.
PLoS Comput Biol
; 19(11): e1011111, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37948450
2.
MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular Design.
J Chem Inf Model
; 62(15): 3551-3564, 2022 08 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35857932
3.
Machine learning for metabolic engineering: A review.
Metab Eng
; 63: 34-60, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33221420
4.
ClusterCAD: a computational platform for type I modular polyketide synthase design.
Nucleic Acids Res
; 46(D1): D509-D515, 2018 01 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-29040649
5.
Automated "Cells-To-Peptides" Sample Preparation Workflow for High-Throughput, Quantitative Proteomic Assays of Microbes.
J Proteome Res
; 18(10): 3752-3761, 2019 10 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-31436101
6.
Engineering high-level production of fatty alcohols by Saccharomyces cerevisiae from lignocellulosic feedstocks.
Metab Eng
; 42: 115-125, 2017 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-28606738
7.
Principal component analysis of proteomics (PCAP) as a tool to direct metabolic engineering.
Metab Eng
; 28: 123-133, 2015 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-25554074
8.
HipA-triggered growth arrest and ß-lactam tolerance in Escherichia coli are mediated by RelA-dependent ppGpp synthesis.
J Bacteriol
; 195(14): 3173-82, 2013 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-23667235
9.
A High-Quality Genome-Scale Model for Rhodococcus opacus Metabolism.
ACS Synth Biol
; 12(6): 1632-1644, 2023 06 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-37186551
10.
Scalable and automated CRISPR-based strain engineering using droplet microfluidics.
Microsyst Nanoeng
; 8: 31, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35359611
11.
Microbial production of advanced biofuels.
Nat Rev Microbiol
; 19(11): 701-715, 2021 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34172951
12.
Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering.
Front Bioeng Biotechnol
; 9: 612893, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33634086
13.
A machine learning Automated Recommendation Tool for synthetic biology.
Nat Commun
; 11(1): 4879, 2020 09 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-32978379
14.
Metagenomic analysis of two enhanced biological phosphorus removal (EBPR) sludge communities.
Nat Biotechnol
; 24(10): 1263-9, 2006 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-16998472
15.
Genome-Scale 13C Fluxomics Modeling for Metabolic Engineering of Saccharomyces cerevisiae.
Methods Mol Biol
; 1859: 317-345, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-30421239
16.
Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation.
ACS Synth Biol
; 8(7): 1474-1477, 2019 07 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-31319671
17.
Special Issue on Artificial Intelligence for Synthetic Biology.
ACS Synth Biol
; 13(2): 408-410, 2024 Feb 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-38214972
18.
Robust Characterization of Two Distinct Glutarate Sensing Transcription Factors of Pseudomonas putida l-Lysine Metabolism.
ACS Synth Biol
; 8(10): 2385-2396, 2019 10 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-31518500
19.
Lessons from Two Design-Build-Test-Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning.
ACS Synth Biol
; 8(6): 1337-1351, 2019 06 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-31072100
20.
Common principles and best practices for engineering microbiomes.
Nat Rev Microbiol
; 17(12): 725-741, 2019 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31548653