324 related articles for article (PubMed ID: 27092947)
1. Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint Programming.
Wu SG; Wang Y; Jiang W; Oyetunde T; Yao R; Zhang X; Shimizu K; Tang YJ; Bao FS
PLoS Comput Biol; 2016 Apr; 12(4):e1004838. PubMed ID: 27092947
[TBL] [Abstract][Full Text] [Related]
2. WUFlux: an open-source platform for
He L; Wu SG; Zhang M; Chen Y; Tang YJ
BMC Bioinformatics; 2016 Nov; 17(1):444. PubMed ID: 27814681
[TBL] [Abstract][Full Text] [Related]
3. Computational Framework for Machine-Learning-Enabled
Wu C; Yu J; Guarnieri M; Xiong W
ACS Synth Biol; 2022 Jan; 11(1):103-115. PubMed ID: 34705423
[No Abstract] [Full Text] [Related]
4. A Method to Constrain Genome-Scale Models with 13C Labeling Data.
Martín HG; Kumar VS; Weaver D; Ghosh A; Chubukov V; Mukhopadhyay A; Arkin A; Keasling JD
PLoS Comput Biol; 2015 Sep; 11(9):e1004363. PubMed ID: 26379153
[TBL] [Abstract][Full Text] [Related]
5. p13CMFA: Parsimonious 13C metabolic flux analysis.
Foguet C; Jayaraman A; Marin S; Selivanov VA; Moreno P; Messeguer R; de Atauri P; Cascante M
PLoS Comput Biol; 2019 Sep; 15(9):e1007310. PubMed ID: 31490922
[TBL] [Abstract][Full Text] [Related]
6. Genome-Scale
Ando D; García Martín H
Methods Mol Biol; 2019; 1859():317-345. PubMed ID: 30421239
[TBL] [Abstract][Full Text] [Related]
7.
Hollinshead W; He L; Tang YJ
Methods Mol Biol; 2019; 1927():215-230. PubMed ID: 30788795
[No Abstract] [Full Text] [Related]
8. From Escherichia coli mutant 13C labeling data to a core kinetic model: A kinetic model parameterization pipeline.
Foster CJ; Gopalakrishnan S; Antoniewicz MR; Maranas CD
PLoS Comput Biol; 2019 Sep; 15(9):e1007319. PubMed ID: 31504032
[TBL] [Abstract][Full Text] [Related]
9. SUMOFLUX: A Generalized Method for Targeted 13C Metabolic Flux Ratio Analysis.
Kogadeeva M; Zamboni N
PLoS Comput Biol; 2016 Sep; 12(9):e1005109. PubMed ID: 27626798
[TBL] [Abstract][Full Text] [Related]
10. ScalaFlux: A scalable approach to quantify fluxes in metabolic subnetworks.
Millard P; Schmitt U; Kiefer P; Vorholt JA; Heux S; Portais JC
PLoS Comput Biol; 2020 Apr; 16(4):e1007799. PubMed ID: 32287281
[TBL] [Abstract][Full Text] [Related]
11. Physicochemical and metabolic constraints for thermodynamics-based stoichiometric modelling under mesophilic growth conditions.
Tomi-Andrino C; Norman R; Millat T; Soucaille P; Winzer K; Barrett DA; King J; Kim DH
PLoS Comput Biol; 2021 Jan; 17(1):e1007694. PubMed ID: 33493151
[TBL] [Abstract][Full Text] [Related]
12. BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale.
Backman TWH; Schenk C; Radivojevic T; Ando D; Singh J; Czajka JJ; Costello Z; Keasling JD; Tang Y; Akhmatskaya E; Garcia Martin H
PLoS Comput Biol; 2023 Nov; 19(11):e1011111. PubMed ID: 37948450
[TBL] [Abstract][Full Text] [Related]
13. Steady-state ¹³C fluxomics using OpenFLUX.
Quek LE; Nielsen LK
Methods Mol Biol; 2014; 1191():209-24. PubMed ID: 25178793
[TBL] [Abstract][Full Text] [Related]
14. Using metabolic networks to predict cross-feeding and competition interactions between microorganisms.
Silva-Andrade C; Rodriguez-Fernández M; Garrido D; Martin AJM
Microbiol Spectr; 2024 May; 12(5):e0228723. PubMed ID: 38506512
[TBL] [Abstract][Full Text] [Related]
15. Model validation and selection in metabolic flux analysis and flux balance analysis.
Kaste JAM; Shachar-Hill Y
Biotechnol Prog; 2024; 40(1):e3413. PubMed ID: 37997613
[TBL] [Abstract][Full Text] [Related]
16. An integrated computational approach for metabolic flux analysis coupled with inference of tandem-MS collisional fragments.
Tepper N; Shlomi T
Bioinformatics; 2013 Dec; 29(23):3045-52. PubMed ID: 24123514
[TBL] [Abstract][Full Text] [Related]
17. Assessment of transcriptomic constraint-based methods for central carbon flux inference.
Bhadra-Lobo S; Kim MK; Lun DS
PLoS One; 2020; 15(9):e0238689. PubMed ID: 32903284
[TBL] [Abstract][Full Text] [Related]
18. 13C metabolic flux analysis: optimal design of isotopic labeling experiments.
Antoniewicz MR
Curr Opin Biotechnol; 2013 Dec; 24(6):1116-21. PubMed ID: 23453397
[TBL] [Abstract][Full Text] [Related]
19. Methods and advances in metabolic flux analysis: a mini-review.
Antoniewicz MR
J Ind Microbiol Biotechnol; 2015 Mar; 42(3):317-25. PubMed ID: 25613286
[TBL] [Abstract][Full Text] [Related]
20. E-Flux2 and SPOT: Validated Methods for Inferring Intracellular Metabolic Flux Distributions from Transcriptomic Data.
Kim MK; Lane A; Kelley JJ; Lun DS
PLoS One; 2016; 11(6):e0157101. PubMed ID: 27327084
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]