☰

Anne Richelle - Publications

Affiliations: 
2015-2018 University of California, San Diego, La Jolla, CA 
Tree Info Similar researchers PubMed Report error

19 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Masson HO, Borland D, Reilly J, Telleria A, Shrivastava S, Watson M, Bustillos L, Li Z, Capps L, Kellman BP, King ZA, Richelle A, Lewis NE, Robasky K. ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data. Star Protocols. 4: 102069. PMID 36853701 DOI: 10.1016/j.xpro.2023.102069  0.611
2022 Kellman BP, Richelle A, Yang JY, Chapla D, Chiang AWT, Najera JA, Liang C, Fürst A, Bao B, Koga N, Mohammad MA, Bruntse AB, Haymond MW, Moremen KW, Bode L, et al. Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration. Nature Communications. 13: 2455. PMID 35508452 DOI: 10.1038/s41467-022-29867-4  0.535
2022 Joshi CJ, Schinn SM, Richelle A, Shamie I, O'Rourke EJ, Lewis NE. Correction: StanDep: Capturing transcriptomic variability improves context-specific metabolic models. Plos Computational Biology. 18: e1009776. PMID 35007280 DOI: 10.1371/journal.pcbi.1009776  0.565
2021 Richelle A, Kellman BP, Wenzel AT, Chiang AWT, Reagan T, Gutierrez JM, Joshi C, Li S, Liu JK, Masson H, Lee J, Li Z, Heirendt L, Trefois C, Juarez EF, et al. Model-based assessment of mammalian cell metabolic functionalities using omics data. Cell Reports Methods. 1. PMID 34761247 DOI: 10.1016/j.crmeth.2021.100040  0.643
2021 Granados JC, Richelle A, Gutierrez JM, Zhang P, Zhang X, Bhatnagar V, Lewis NE, Nigam SK. \Coordinate regulation of systemic and kidney tryptophan metabolism by the drug transporters OAT1 and OAT3. The Journal of Biological Chemistry. 100575. PMID 33757768 DOI: 10.1016/j.jbc.2021.100575  0.722
2020 Tibocha-Bonilla JD, Kumar M, Richelle A, Godoy-Silva RD, Zengler K, Zuñiga C. Dynamic resource allocation drives growth under nitrogen starvation in eukaryotes. Npj Systems Biology and Applications. 6: 14. PMID 32415097 DOI: 10.1038/s41540-020-0135-y  0.355
2020 Joshi CJ, Schinn SM, Richelle A, Shamie I, O'Rourke EJ, Lewis NE. StanDep: Capturing transcriptomic variability improves context-specific metabolic models. Plos Computational Biology. 16: e1007764. PMID 32396573 DOI: 10.1371/Journal.Pcbi.1007764  0.66
2020 Lieven C, Beber ME, Olivier BG, Bergmann FT, Ataman M, Babaei P, Bartell JA, Blank LM, Chauhan S, Correia K, Diener C, Dräger A, Ebert BE, Edirisinghe JN, Faria JP, ... ... Richelle A, et al. Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing. Nature Biotechnology. 38: 504. PMID 32265554 DOI: 10.1038/S41587-020-0477-4  0.666
2020 Lieven C, Beber ME, Olivier BG, Bergmann FT, Ataman M, Babaei P, Bartell JA, Blank LM, Chauhan S, Correia K, Diener C, Dräger A, Ebert BE, Edirisinghe JN, Faria JP, ... ... Richelle A, et al. MEMOTE for standardized genome-scale metabolic model testing. Nature Biotechnology. PMID 32123384 DOI: 10.1038/S41587-020-0446-Y  0.674
2020 Lewis NE, Richelle AE, Kellman BE. Elucidating the biosynthetic pathways of human milk oligosaccharides through a systems biology approach The Faseb Journal. 34: 1-1. DOI: 10.1096/Fasebj.2020.34.S1.05286  0.481
2019 Portela RMC, Richelle A, Dumas P, von Stosch M. Time Integrated Flux Analysis: Exploiting the Concentration Measurements Directly for Cost-Effective Metabolic Network Flux Analysis. Microorganisms. 7. PMID 31783658 DOI: 10.3390/microorganisms7120620  0.342
2019 Richelle A, Joshi C, Lewis NE. Assessing key decisions for transcriptomic data integration in biochemical networks. Plos Computational Biology. 15: e1007185. PMID 31323017 DOI: 10.1371/Journal.Pcbi.1007185  0.594
2019 Richelle A, Chiang AWT, Kuo CC, Lewis NE. Increasing consensus of context-specific metabolic models by integrating data-inferred cell functions. Plos Computational Biology. 15: e1006867. PMID 30986217 DOI: 10.1371/Journal.Pcbi.1006867  0.693
2019 Heirendt L, Arreckx S, Pfau T, Mendoza SN, Richelle A, Heinken A, Haraldsdóttir HS, Wachowiak J, Keating SM, Vlasov V, Magnusdóttir S, Ng CY, Preciat G, Žagare A, Chan SHJ, et al. Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0. Nature Protocols. PMID 30787451 DOI: 10.1038/S41596-018-0098-2  0.64
2018 Lewis NE, Chiang AWT, Bao B, Kuo C, Kellman B, Richelle A, Liang A, Arnsdorf J, Sukhova Z, Ménard P, Hansen AH, Yang Z, Joshi H, Clausen H, Voldborg BG. The cellular impact of glycoengineering Glycobiology. 28: 1074-1074. DOI: 10.1093/Glycob/Cwy088  0.524
2017 Richelle A, Lewis NE. Improvements in protein production in mammalian cells from targeted metabolic engineering. Current Opinion in Systems Biology. 6: 1-6. PMID 29104947 DOI: 10.1016/J.Coisb.2017.05.019  0.619
2017 Opdam S, Richelle A, Kellman B, Li S, Zielinski DC, Lewis NE. A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models. Cell Systems. PMID 28215528 DOI: 10.1016/J.Cels.2017.01.010  0.746
2017 Bogaerts P, Mhallem Gziri K, Richelle A. From MFA to FBA: Defining linear constraints accounting for overflow metabolism in a macroscopic FBA-based dynamical model of cell cultures in bioreactor Journal of Process Control. 60: 34-47. DOI: 10.1016/J.JPROCONT.2017.06.018  0.331
2016 Chiang AW, Li S, Spahn PN, Richelle A, Kuo CC, Samoudi M, Lewis NE. Modulating carbohydrate-protein interactions through glycoengineering of monoclonal antibodies to impact cancer physiology. Current Opinion in Structural Biology. 40: 104-111. PMID 27639240 DOI: 10.1016/J.Sbi.2016.08.008  0.701
Show low-probability matches.