Modeling metabolism of the human gut microbiome
Open accessAbstract
The human gut microbiome plays an important part in human health. The complexity of the microbiome makes it difficult to determine the detailed metabolic functions and cross-talk occurs between the individual species. In silico systems biology studies of the microbiome can help to identify metabolite exchanges among gut microbes. Constraint-based reconstruction and analysis methods use biochemically accurate genome-scale metabolic networks of microorganisms to simulate metabolism between species in a given microbiome and help generate novel hypotheses on microbial interactions. Here, we review metabolic modeling studies that have investigated metabolic functions of the gut microbiome.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Metabolic models of the microbiome have yielded understanding in microbe-microbe interactions and microbe-environment interactions.
“Metabolic models of the microbiome, often utilizing our growing capacity to produce, process and handle big data, have yielded invaluable understanding in microbe-microbe interactions and microbe-environment interactions (Magnusdottir and Thiele, 2018;Sung et al., 2016).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Magnusdottir and Thiele, 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041 · see citing works
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444 · see citing works
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726 · see citing works
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100 · see citing works
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815 · see citing works
A metagenome-wide association study of gut microbiota in type 2 diabetes
Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762 · see citing works
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176 · see citing works
The impact of the gut microbiota on human health: an integrative view
Clemente, J. C., Ursell, L. K., Parfrey, L. W., & Knight, R. (2012) · Cell · doi:10.1016/j.cell.2012.01.035 · Cited by 3,710 · see citing works
Gut microbiota composition correlates with diet and health in the elderly
Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314 · see citing works
Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites
Wikoff, W. R., Anfora, A. T., Liu, J., Schultz, P. G., Lesley, S. A., Peters, E. C., & Siuzdak, G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812874106 · Cited by 2,677 · see citing works
Microbial degradation of complex carbohydrates in the gut
Flint, H. J., Scott, K. P., Duncan, S. H., Louis, P., & Forano, E. (2012) · Gut Microbes · doi:10.4161/gmic.19897 · Cited by 2,331 · see citing works
Artificial sweeteners induce glucose intolerance by altering the gut microbiota
Suez, J., Korem, T., Zeevi, D., Zilberman-Schapira, G., Thaiss, C. A., Maza, O., Israeli, D., Zmora, N., Gilad, S., Weinberger, A., et al. (2014) · Nature · doi:10.1038/nature13793 · Cited by 2,067 · see citing works
A protocol for generating a high-quality genome-scale metabolic reconstruction
Thiele, I., & Palsson, B. Ø. (2010) · Nature Protocols · doi:10.1038/nprot.2009.203 · Cited by 1,789 · see citing works
Self-citationKBase: The United States Department of Energy Systems Biology Knowledgebase
(2018) · doi:10.1038/nbt.4163 · Cited by 1,624 · see citing works
Bacteria as vitamin suppliers to their host: A gut microbiota perspective
LeBlanc, J. G., Milani, C., de Giori, G. S., Sesma, F., van Sinderen, D., & Ventura, M. (2013) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2012.08.005 · Cited by 1,613 · see citing works
Diet dominates host genotype in shaping the murine gut microbiota
Carmody, R. N., Gerber, G. K., Luevano, J. M., Gatti, D. M., Somes, L., Svenson, K. L., & Turnbaugh, P. J. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2014.11.010 · Cited by 1,103 · see citing works
High-throughput generation, optimization and analysis of genome-scale metabolic models
Henry, C. S., DeJongh, M., Best, A. A., Frybarger, P. M., Linsay, B., & Stevens, R. L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1672 · Cited by 1,090 · see citing works
A community-driven global reconstruction of human metabolism
Thiele, I., Swainston, N., Fleming, R. M. T., Hoppe, A., Sahoo, S., Aurich, M. K., Haraldsdottir, H., Mo, M. L., Rolfsson, O., Stobbe, M. D., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2488 · Cited by 1,019 · see citing works
Self-citationHost lifestyle affects human microbiota on daily timescales
David, L. A., Materna, A. C., Friedman, J., Campos-Baptista, M. I., Blackburn, M. C., Perrotta, A., Erdman, S. E., & Alm, E. J. (2014) · Genome biology · doi:10.1186/gb-2014-15-7-r89 · Cited by 950 · see citing works
Metabolic dependencies drive species co-occurrence in diverse microbial communities
Zelezniak, A., Andrejev, S., Ponomarova, O., Mende, D. R., Bork, P., & Patil, K. R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421834112 · Cited by 930 · see citing works
Greenblum, S., Turnbaugh, P. J., & Borenstein, E. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116053109 · Cited by 821 · see citing works
Applications of genome‐scale metabolic reconstructions
Oberhardt, M., Palsson, B. Ø., & Papin, J. A. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.77 · Cited by 820 · see citing works
Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota
Magnúsdóttir, S., Heinken, A., Kutt, L., Ravcheev, D. A., Bauer, E., Noronha, A., Greenhalgh, K., Jäger, C., Baginska, J., Wilmes, P., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.3703 · Cited by 798 · see citing works
Self-citationRecon3D enables a three-dimensional view of gene variation in human metabolism
Brunk, E., Sahoo, S., Zielinski, D. C., Altunkaya, A., Dräger, A., Mih, N., Gatto, F., Nilsson, A., Preciat, G., Aurich, M. K., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4072 · Cited by 755 · see citing works
Self-citationPathway Tools version 13.0: integrated software for pathway/genome informatics and systems biology
Karp, P. D., Paley, S. M., Krummenacker, M., Latendresse, M., Dale, J. M., Lee, T. J., Kaipa, P., Gilham, F., Spaulding, A., Popescu, L., et al. (2010) · Briefings in Bioinformatics · doi:10.1093/bib/bbp043 · Cited by 694 · see citing works
Metabolomics enables precision medicine: “A White Paper, Community Perspective”
for “Precision Medicine and Pharmacometabolomics Task Group”-Metabolomics Society Initiative, Beger, R. D., Dunn, W., Schmidt, M. A., Gross, S. S., Kirwan, J. A., Cascante, M., Brennan, L., Wishart, D. S., Oresic, M., et al. (2016) · Metabolomics · doi:10.1007/s11306-016-1094-6 · Cited by 592 · see citing works
Self-citationCompetitive and cooperative metabolic interactions in bacterial communities
Freilich, S., Zarecki, R., Eilam, O., Segal, E. S., Henry, C. S., Kupiec, M., Gophna, U., Sharan, R., & Ruppin, E. (2011) · Nature Communications · doi:10.1038/ncomms1597 · Cited by 557 · see citing works
Metabolic modeling of a mutualistic microbial community
Stolyar, S. M., Dien, S. V., Hillesland, K. L., Pinel, N., Lie, T. J., Leigh, J. A., & Stahl, D. A. (2007) · Molecular Systems Biology · doi:10.1038/msb4100131 · Cited by 553 · see citing works
Harcombe, W. R., Riehl, W. J., Dukovski, I., Granger, B. R., Betts, A., Lang, A., Bonilla, G. M., Kar, A., Leiby, N., Mehta, P., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.03.070 · Cited by 518 · see citing works
Molecular analysis of the gut microbiota of identical twins with Crohn's disease
Dicksved, J., Halfvarson, J., Rosenquist, M., Järnerot, G., Tysk, C., Apajalahti, J., Engstrand, L. G., & Jansson, J. K. (2008) · The ISME Journal · doi:10.1038/ismej.2008.37 · Cited by 459 · see citing works
Martin, F. J., Wang, Y., Sprenger, N., Yap, I. K. S., Lundstedt, T., Lek, P., Rezzi, S., Ramadan, Z., van Bladeren, P., Fay, L. B., et al. (2008) · Molecular Systems Biology · doi:10.1038/msb4100190 · Cited by 421 · see citing works
Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome
Shoaie, S., Ghaffari, P., Kovatcheva‐Datchary, P., Mardinoğlu, A., Sen, P., Pujos‐Guillot, E., de Wouters, T., Juste, C., Rizkalla, S. W., Chilloux, J., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.07.001 · Cited by 417 · see citing works
Machado, D., & Herrgård, M. J. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003580 · Cited by 403 · see citing works
Zomorrodi, A. R., & Maranas, C. D. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002363 · Cited by 397 · see citing works
Contribution of microbial amino acids to amino acid homeostasis of the host
Metges, C. C. (2000) · The Journal of Nutrition · doi:10.1093/jn/130.7.1857s · Cited by 391 · see citing works
The gut microbiota modulates host amino acid and glutathione metabolism in mice
Mardinoglu, A., Shoaie, S., Bergentall, M., Ghaffari, P., Zhang, C., Larsson, E., Bäckhed, F., & Nielsen, J. (2015) · Molecular Systems Biology · doi:10.15252/msb.20156487 · Cited by 383 · see citing works
Computationally efficient flux variability analysis
Guðmundsson, S., & Thiele, I. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-489 · Cited by 360 · see citing works
Self-citationEnvironments that Induce Synthetic Microbial Ecosystems
Klitgord, N., & Segrè, D. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001002 · Cited by 331 · see citing works
Integrated multi-omics of the human gut microbiome in a case study of familial type 1 diabetes
Heintz-Buschart, A., May, P., Laczny, C. C., Lebrun, L. A., Bellora, C., Krishna, A., Wampach, L., Schneider, J. G., Hogan, A., de Beaufort, C., et al. (2016) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.180 · Cited by 316 · see citing works
Optimization based automated curation of metabolic reconstructions
Kumar, V. S., Dasika, M. S., & Maranas, C. D. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-212 · Cited by 315 · see citing works
BacArena: Individual-based metabolic modeling of heterogeneous microbes in complex communities
Bauer, E., Zimmermann, J., Baldini, F., Thiele, I., & Kaleta, C. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005544 · Cited by 308 · see citing works
Self-citationSystems approach to refining genome annotation
Reed, J. L., Patel, T., Chen, K. H., Joyce, A. R., Applebee, M. K., Herring, C. D., Bui, O., Knight, E. M., Fong, S. S., & Palsson, B. Ø. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603364103 · Cited by 283 · see citing works
Pathway Tools version 19.0 update: software for pathway/genome informatics and systems biology
Karp, P. D., Latendresse, M., Paley, S., Krummenacker, M., Ong, Q., Billington, R., Kothari, A., Weaver, D. S., Lee, T., Subhraveti, P., et al. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv079 · Cited by 267 · see citing works
Understanding the interactions between bacteria in the human gut through metabolic modeling
Shoaie, S., Karlsson, F. H., Mardinoğlu, A., Nookaew, I., Bordel, S., & Nielsen, J. (2013) · Scientific Reports · doi:10.1038/srep02532 · Cited by 260 · see citing works
Bordbar, A., Lewis, N. E., Schellenberger, J., Palsson, B. Ø., & Jamshidi, N. (2010) · Molecular Systems Biology · doi:10.1038/msb.2010.68 · Cited by 252 · see citing works
Functional Metabolic Map of Faecalibacterium prausnitzii, a Beneficial Human Gut Microbe
Heinken, A., Khan, M. T., Paglia, G., Rodionov, D. A., Harmsen, H. J. M., & Thiele, I. (2014) · Journal of Bacteriology · doi:10.1128/jb.01780-14 · Cited by 236 · see citing works
Self-citationSteadyCom: Predicting microbial abundances while ensuring community stability
Chan, S. H. J., Simons, M., & Maranas, C. D. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005539 · Cited by 233 · see citing works
Systems-level characterization of a host-microbe metabolic symbiosis in the mammalian gut
Heinken, A., Sahoo, S., Fleming, R. M. T., & Thiele, I. (2013) · Gut Microbes · doi:10.4161/gmic.22370 · Cited by 219 · see citing works
Self-citationCommunity Flux Balance Analysis for Microbial Consortia at Balanced Growth
Khandelwal, R. A., Olivier, B. G., Röling, W. F. M., Teusink, B., & Bruggeman, F. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064567 · Cited by 215 · see citing works
Functional and phylogenetic assembly of microbial communities in the human microbiome
Shafquat, A., Cordy, R. J., Simmons, S. L., & Huttenhower, C. (2014) · Trends in Microbiology · doi:10.1016/j.tim.2014.01.011 · Cited by 212 · see citing works
A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models
Opdam, S., Richelle, A., Kellman, B. P., Li, S., Zielinski, D. C., & Lewis, N. E. (2017) · Cell Systems · doi:10.1016/j.cels.2017.01.010 · Cited by 209 · see citing works
d-OptCom: Dynamic Multi-level and Multi-objective Metabolic Modeling of Microbial Communities
Zomorrodi, A. R., Islam, M. M., & Maranas, C. D. (2014) · ACS Synthetic Biology · doi:10.1021/sb4001307 · Cited by 208 · see citing works
Duncan, S. H., Scott, K. P., Ramsay, A. G., Harmsen, H. J. M., Welling, G. W., Stewart, C. S., & Flint, H. J. (2003) · Applied and Environmental Microbiology · doi:10.1128/aem.69.2.1136-1142.2003 · Cited by 179 · see citing works
Inference of Network Dynamics and Metabolic Interactions in the Gut Microbiome
Steinway, S. N., Biggs, M. B., Loughran, T. P., Papin, J. A., & Albert, R. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004338 · Cited by 127 · see citing works
Metabolic network modeling of microbial communities
Biggs, M. B., Medlock, G. L., Kolling, G. L., & Papin, J. A. (2015) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1308 · Cited by 124 · see citing works
Anoxic Conditions Promote Species-Specific Mutualism between Gut Microbes <i>In Silico</i>
Heinken, A., & Thiele, I. (2015) · Applied and Environmental Microbiology · doi:10.1128/aem.00101-15 · Cited by 123 · see citing works
Self-citationfast G ap F ill : efficient gap filling in metabolic networks
Thiele, I., Vlassis, N. A., & Fleming, R. M. T. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu321 · Cited by 123 · see citing works
Self-citationSystems biology constraint-based reconstruction and analysis
Palsson, B. Ø. (n.d.) · Cited by 117 · see citing works
A systems biology approach to studying the role of microbes in human health
Thiele, I., Heinken, A., & Fleming, R. M. (2013) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2012.10.001 · Cited by 114 · see citing works
Self-citationHeinken, A., & Thiele, I. (2015) · Gut Microbes · doi:10.1080/19490976.2015.1023494 · Cited by 105 · see citing works
Self-citationHoek, M. J. A., & Merks, R. M. H. (2017) · BMC Systems Biology · doi:10.1186/s12918-017-0430-4 · Cited by 105 · see citing works
Elsemman, I. E., Karlsson, F. H., Shoaie, S., Nookaew, I., Soliman, T. H. A., & Nielsen, J. (2014) · BMC Systems Biology · doi:10.1186/1752-0509-8-41 · Cited by 101 · see citing works
Systems biology of host–microbe metabolomics
Heinken, A., & Thiele, I. (2015) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1301 · Cited by 96 · see citing works
Self-citationGenome annotation errors in pathway databases due to semantic ambiguity in partial EC numbers
Green, M. L. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki711 · Cited by 88 · see citing works
Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0Preprint
Heirendt, L., Arreckx, S., Pfau, T., Mendoza, S. N., Richelle, A., Heinken, A., Haraldsdóttir, H. S., Wachowiak, J., Keating, S., Vlasov, V., et al. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1710.04038 · Cited by 86 · see citing works
Self-citationHauser, T. U., Moutoussis, M., Iannaccone, R., Brem, S., Walitza, S., Drechsler, R., Dayan, P., & Dolan, R. J. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005440 · Cited by 85 · see citing works
Fleming, R. M. T., Thiele, I., & Nasheuer, H. (2009) · Biophysical Chemistry · doi:10.1016/j.bpc.2009.08.007 · Cited by 83 · see citing works
Self-citationThe human metabolic reconstruction Recon 1 directs hypotheses of novel human metabolic functions
Rolfsson, Ó., Palsson, B. Ø., & Thiele, I. (2011) · BMC Systems Biology · doi:10.1186/1752-0509-5-155 · Cited by 74 · see citing works
Self-citationCalibration and analysis of genome-based models for microbial ecology
Louca, S., & Doebeli, M. (2015) · eLife · doi:10.7554/elife.08208 · Cited by 68 · see citing works
Predicting the impact of diet and enzymopathies on human small intestinal epithelial cells
Sahoo, S., & Thiele, I. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt119 · Cited by 67 · see citing works
Self-citationA multi-objective constraint-based approach for modeling genome-scale microbial ecosystems
Budinich, M., Bourdon, J., Larhlimi, A., & Eveillard, D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171744 · Cited by 63 · see citing works
Haraldsdóttir, H. S., Thiele, I., & Fleming, R. M. T. (2012) · Biophysical Journal · doi:10.1016/j.bpj.2012.02.032 · Cited by 53 · see citing works
Self-citationManaging uncertainty in metabolic network structure and improving predictions using EnsembleFBA
Biggs, M. B., & Papin, J. A. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005413 · Cited by 43 · see citing works
Vo, T. D., & Palsson, B. Ø. (2006) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00193.2006 · Cited by 34 · see citing works
Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0
Granger, B. R., Chang, Y.-C., Wang, Y., DeLisi, C., Segrè, D., & Hu, Z. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004875 · Cited by 34 · see citing works
Byproduct Cross Feeding and Community Stability in an In Silico Biofilm Model of the Gut Microbiome
Henson, M. A., & Phalak, P. (2017) · Processes · doi:10.3390/pr5010013 · Cited by 33 · see citing works
DistributedFBA.jl: high-level, high-performance flux balance analysis in Julia
Heirendt, L., Thiele, I., & Fleming, R. M. T. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw838 · Cited by 29 · see citing works
Self-citationHeinken, A., Ravcheev, D. A., Baldini, F., Heirendt, L., Fleming, R. M. T., & Thiele, I. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/229138 · Cited by 28 · see citing works
Self-citationSpecies interactions differ in their genetic robustness
Chubiz, L. M., Granger, B. R., Segrè, D., & Harcombe, W. R. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00271 · Cited by 20 · see citing works
Conditions for duality between fluxes and concentrations in biochemical networks
Fleming, R. M. T., Vlassis, N. A., Thiele, I., & Saunders, M. A. (2016) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2016.06.033 · Cited by 18 · see citing works
Self-citationMetabolic network-guided binning of metagenomic sequence fragments
Biggs, M. B., & Papin, J. A. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv671 · Cited by 10 · see citing works
Bauer, E., & Thiele, I. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1709.06007 · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
1 of the 83 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Arkin AP, Stevens RL, Cottingham RW, Maslov S, Henry CS, Dehal P, Ware D, Perez F, Harris NL, Canon S et al.: The DOE Systems Biology Knowledgebase (KBase). bioRxiv; 2016.
- Thiele I, Vlassis N, Fleming RM: fastGapFill: efficient gap filling in metabolic networks. Bioinformatics 2014, 30:2529-2531.
Cited by
Sorted by citations
Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286 · see citing works
Heinken, A., Ravcheev, D. A., Baldini, F., Heirendt, L., Fleming, R. M. T., & Thiele, I. (2019) · Microbiome · doi:10.1186/s40168-019-0689-3 · Cited by 335 · see citing works
Self-citationGut reactions: Breaking down xenobiotic–microbiome interactions
Clarke, G., Sandhu, K. V., Griffin, B. T., Dinan, T. G., Cryan, J. F., & Hyland, N. P. (2019) · Pharmacological Reviews · doi:10.1124/pr.118.015768 · Cited by 319 · see citing works
Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine
Heinken, A., Hertel, J., Acharya, G., Ravcheev, D. A., Nyga, M., Okpala, O. E., Hogan, M., Magnúsdóttir, S., Martinelli, F., Nap, B., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-022-01628-0 · Cited by 297 · see citing works
Self-citationReconstructing organisms in silico: genome-scale models and their emerging applications
Fang, X., Lloyd, C. J., & Palsson, B. O. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-020-00440-4 · Cited by 292 · see citing works
A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)
Dukovski, I., Bajić, D., Chacón, J. M., Quintin, M., Vila, J. C. C., Sulheim, S., Pacheco, A. R., Bernstein, D. B., Riehl, W. J., Korolev, K. S., et al. (2021) · Nature Protocols · doi:10.1038/s41596-021-00593-3 · Cited by 222 · see citing works
Metabolic Engineering: Methodologies and Applications
Volk, M., Tran, V. G., Tan, S., Mishra, S., Fatma, Z., Boob, A. G., Li, H., Xue, P., Martin, T. A., & Zhao, H. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00403 · Cited by 211 · see citing works
NIH Human Microbiome Portfolio Analysis Team (2019) · Microbiome · doi:10.1186/s40168-019-0620-y · Cited by 207 · see citing works
Sipos, A., Ujlaki, G., Mikó, E., Maka, E., Szabó, J., Uray, K., Krasznai, Z. T., & Bai, P. (2021) · Molecular Medicine · doi:10.1186/s10020-021-00295-2 · Cited by 150 · see citing works
Synthetic biology in the clinic: engineering vaccines, diagnostics, and therapeutics
Tan, X., Letendre, J. H., Collins, J. J., & Wong, W. W. (2021) · Cell · doi:10.1016/j.cell.2021.01.017 · Cited by 133 · see citing works
Hale, V. L., Jeraldo, P., Chen, J., Mundy, M. B., Yao, J. Z., Priya, S., Keeney, G., Lyke, K. J., Ridlon, J. M., White, B. A., et al. (2018) · Genome Medicine · doi:10.1186/s13073-018-0586-6 · Cited by 124 · see citing works
Understanding the host-microbe interactions using metabolic modeling
Jansma, J., & Aidy, S. E. (2021) · Microbiome · doi:10.1186/s40168-020-00955-1 · Cited by 102 · see citing works
Greenhalgh, K., Ramiro‐Garcia, J., Heinken, A., Ullmann, P., Bintener, T., Pacheco, M. P., Bagińska, J., Shah, P., Frachet, A., Halder, R., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.04.001 · Cited by 96 · see citing works
Self-citationHeinken, A., Hertel, J., & Thiele, I. (2021) · npj Systems Biology and Applications · doi:10.1038/s41540-021-00178-6 · Cited by 89 · see citing works
Self-citationA Big World in Small Grain: A Review of Natural Milk Kefir Starters
Nejati, F., Junne, S. G., & Neubauer, P. B. (2020) · Microorganisms · doi:10.3390/microorganisms8020192 · Cited by 89 · see citing works
Jenior, M. L., Moutinho, T. J., Dougherty, B. V., & Papin, J. A. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007099 · Cited by 83 · see citing works
Design of synthetic microbial consortia for gut microbiota modulation
Vázquez-Castellanos, J. F., Biclot, A., Vrancken, G., Huys, G. R. B., & Raes, J. (2019) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2019.07.005 · Cited by 81 · see citing works
Plant Genetics as a Tool for Manipulating Crop Microbiomes: Opportunities and Challenges
Clouse, K. M., & Wagner, M. R. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.567548 · Cited by 73 · see citing works
The gut microbiota promotes the pathogenesis of schizophrenia via multiple pathways
Yuan, X., Kang, Y., Zhuo, C., Huang, X., & Song, X. (2019) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2019.02.152 · Cited by 73 · see citing works
Wang, Y., Eum, J. H., Harrison, R. E., Valzania, L., Yang, X., Johnson, J. A., Huck, D. T., Brown, M. R., & Strand, M. R. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2101080118 · Cited by 72 · see citing works
A meta-analysis study of the robustness and universality of gut microbiome-metabolome associations
Muller, E., Algavi, Y. M., & Borenstein, E. (2021) · Microbiome · doi:10.1186/s40168-021-01149-z · Cited by 73 · see citing works
Chang, F., Siuti, P., Laurent, S., Williams, T., Glassey, E., Sailer, A. W., Gordon, D. B., Hemmerle, H., & Voigt, C. A. (2021) · Nature Microbiology · doi:10.1038/s41564-021-00887-y · Cited by 67 · see citing works
Schleyer, G., Shahaf, N., Ziv, C., Dong, Y., Meoded, R. A., Helfrich, E. J. N., Schatz, D., Rosenwasser, S., Rogachev, I., Aharoni, A., et al. (2019) · Nature Microbiology · doi:10.1038/s41564-018-0336-y · Cited by 69 · see citing works
Noecker, C. A., Chiu, H.-C., McNally, C. P., & Borenstein, E. (2019) · mSystems · doi:10.1128/msystems.00579-19 · Cited by 66 · see citing works
Factors Affecting Gut Microbiome in Daily Diet
Su, Q., & Liu, Q. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.644138 · Cited by 60 · see citing works
Integrated molecular approaches for fermented food microbiome research
Walsh, A. M., Leech, J., Huttenhower, C., Delhomme-Nguyen, H., Crispie, F., Chervaux, C., & Cotter, P. D. (2023) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuad001 · Cited by 56 · see citing works
Evidence for a multi-level trophic organization of the human gut microbiome
Wang, T., Goyal, A., Dubinkina, V. B., & Maslov, S. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007524 · Cited by 55 · see citing works
An extended reconstruction of human gut microbiota metabolism of dietary compounds
Blasco, T., Pérez-Burillo, S., Balzerani, F., Hinojosa-Nogueira, D., Lerma-Aguilera, A. M., Pastoriza, S., Cendoya, X., Rubio, Á., Gosalbes, M. J., Jiménez‐Hernández, N., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25056-x · Cited by 52 · see citing works
Synthetic gut microbiome: Advances and challenges
Mabwi, H. A., Kim, E., Song, D., Yoon, H. S., Pan, C., Komba, E. V. G., Ko, G., & Cha, K. H. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.12.029 · Cited by 51 · see citing works
Gut microbiome-metabolome interactions predict host condition
Shtossel, O., Koren, O., Shai, I., Rinott, E., & Louzoun, Y. (2024) · Microbiome · doi:10.1186/s40168-023-01737-1 · Cited by 48 · see citing works
The Computational Diet: A Review of Computational Methods Across Diet, Microbiome, and Health
Eetemadi, A., Rai, N., Pereira, B. M. P., Kim, M., Schmitz, H. H., & Tagkopoulos, I. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00393 · Cited by 48 · see citing works
Defining the nutritional input for genome-scale metabolic models: A roadmap
Μαρίνος, Γ., Kaleta, C., & Waschina, S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236890 · Cited by 47 · see citing works
Metabolic Modeling of Cystic Fibrosis Airway Communities Predicts Mechanisms of Pathogen Dominance
Henson, M. A., Orazi, G., Phalak, P., & O’Toole, G. A. (2019) · mSystems · doi:10.1128/msystems.00026-19 · Cited by 46 · see citing works
Guéniche, A., Périn, O., Bouslimani, A., Landemaine, L., Misra, N., Cupferman, S., Aguilar, L., Clavaud, C., Chopra, T., & Khodr, A. (2022) · Pathogens · doi:10.3390/pathogens11020121 · Cited by 45 · see citing works
Metabolic network percolation quantifies biosynthetic capabilities across the human oral microbiome
Bernstein, D. B., Dewhirst, F., & Segrè, D. (2019) · eLife · doi:10.7554/elife.39733 · Cited by 38 · see citing works
The role of the Mediterranean diet in modulating the gut microbiome: A review of current evidence
Gündoğdu, A., & Nalbantoğlu, Ö. U. (2023) · Nutrition · doi:10.1016/j.nut.2023.112118 · Cited by 42 · see citing works
Computational Modeling of the Human Microbiome
Chowdhury, S., & Fong, S. S. (2020) · Microorganisms · doi:10.3390/microorganisms8020197 · Cited by 42 · see citing works
CRISPR-Cas9: A method for establishing rat models of drug metabolism and pharmacokinetics
Lu, J., Liu, J., Guo, Y., Zhang, Y., Xu, Y., & Wang, X. (2021) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2021.01.007 · Cited by 39 · see citing works
Ravcheev, D. A., Moussu, L., Smajić, S., & Thiele, I. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00636 · Cited by 35 · see citing works
Self-citationHeinken, A., Acharya, G., Ravcheev, D. A., Hertel, J., Nyga, M., Okpala, O. E., Hogan, M., Magnúsdóttir, S., Martinelli, F., Preciat, G., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.09.375451 · Cited by 38 · see citing works
Self-citationGut Microbiota and Human Body Interactions; Its Impact on Health: A Review
Hajiagha, M. N., Taghizadeh, S., Asgharzadeh, M., Dao, S., Ganbarov, K., Köse, Ş., & Kafil, H. S. (2021) · Current Pharmaceutical Biotechnology · doi:10.2174/1389201022666210104115836 · Cited by 35 · see citing works
Constraint-based modeling in microbial food biotechnology
Rau, M. H., & Zeidan, A. A. (2018) · Biochemical Society Transactions · doi:10.1042/bst20170268 · Cited by 35 · see citing works
Busato, S., Gordon, M., Chaudhari, M., Jensen, I. T., Akyol, T. Y., Andersen, S. U., & Williams, C. (2022) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2022.102326 · Cited by 35 · see citing works
Systematic evaluation of parameters for genome-scale metabolic models of cultured mammalian cells
Schinn, S., Morrison, C., Wei, W., Zhang, L., & Lewis, N. E. (2021) · Metabolic Engineering · doi:10.1016/j.ymben.2021.03.013 · Cited by 33 · see citing works
Zhuang, Y., Zeng, R., Liu, X., Yang, L., & Chan, Z. (2022) · Marine Drugs · doi:10.3390/md20110725 · Cited by 31 · see citing works
Gut microbiota and gut tissue metabolites involved in development and prevention of depression
Yu, M., Jia, H., Qin, L.-L., & Zou, Z. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.10.016 · Cited by 31 · see citing works
What the Gut Tells the Brain—Is There a Link between Microbiota and Huntington’s Disease?
Wronka, D., Karlik, A., Misiorek, J. O., & Przybył, Ł. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054477 · Cited by 30 · see citing works
First and second generation probiotic therapeutics for Inflammatory Bowel Disease
Sireswar, S., Ghosh, I., & Dey, G. (2019) · PharmaNutrition · doi:10.1016/j.phanu.2019.100159 · Cited by 26 · see citing works
Key Technologies for Progressing Discovery of Microbiome-Based Medicines
Young, R. B., Marcelino, V. R., Chonwerawong, M., Gulliver, E. L., & Forster, S. C. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.685935 · Cited by 27 · see citing works
Wang, P., Correia, K., Ho, H.-C., Venayak, N., Nemr, K., Flick, R., Mahadevan, R., & Edwards, E. A. (2019) · The ISME Journal · doi:10.1038/s41396-018-0333-4 · Cited by 25 · see citing works
Kim, H. I., Hong, S. H., Lee, S.-Y., Ku, J. M., Kim, M., & Ko, S. (2021) · Nutrients · doi:10.3390/nu13041349 · Cited by 24 · see citing works
Zhang, B., Dong, W., Ma, Z., Duan, S., Han, R., Zhou, L., Liu, X., & Mao, Y. (2022) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13999 · Cited by 24 · see citing works
Modelling microbial communities using biochemical resource allocation analysis
Sharma, S. A., & Steuer, R. (2019) · Journal of The Royal Society Interface · doi:10.1098/rsif.2019.0474 · Cited by 20 · see citing works
Adaptation of the Human Gut Microbiota Metabolic Network During the First Year After Birth
Fuertes, A., Pérez-Burillo, S., Apaolaza, I., Vallès, Y., Francino, M. P., Rufián‐Henares, J. Á., & Planes, F. J. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00848 · Cited by 22 · see citing works
Material Engineering in Gut Microbiome and Human Health
Yang, L., Hung, L. Y., Zhu, Y., Ding, S., Margolis, K. G., & Leong, K. W. (2022) · Research · doi:10.34133/2022/9804014 · Cited by 24 · see citing works
Versluis, D. M., Schoemaker, R., Looijesteijn, E., Muysken, D., Jeurink, P. V., Paques, M., Geurts, J. M. W., & Merks, R. M. H. (2022) · mSystems · doi:10.1128/msystems.00446-22 · Cited by 20 · see citing works
Chan, S. H. J., Friedman, E. S., Wu, G. D., & Maranas, C. D. (2019) · Processes · doi:10.3390/pr7070394 · Cited by 21 · see citing works
Expanding the drug discovery space with predicted metabolite–target interactions
Nuzzo, A., Saha, S., Berg, E. L., Jayawickreme, C. K., Tocker, J. E., & Brown, J. R. (2021) · Communications Biology · doi:10.1038/s42003-021-01822-x · Cited by 20 · see citing works
Hertel, J., Heinken, A., Fässler, D., & Thiele, I. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100615 · Cited by 21 · see citing works
Self-citationA Computational Framework for Studying Gut-Brain Axis in Autism Spectrum Disorder
Mohammad, F. K., Palukuri, M. V., Shivakumar, S., Rengaswamy, R., & Sahoo, S. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.760753 · Cited by 20 · see citing works
Wang, X., Ma, K., Zhang, C., Ji, F., Chen, L., Zhang, X., Mahsa, G. C., Azarpazhooh, E., Ajami, M., Rui, X., et al. (2023) · Food Microbiology · doi:10.1016/j.fm.2023.104369 · Cited by 19 · see citing works
Emerging tools and best practices for studying gut microbial community metabolism
Noecker, C. A., & Turnbaugh, P. J. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01074-z · Cited by 19 · see citing works
Not by (Good) Microbes Alone: Towards Immunocommensal Therapies
Leung, C. Y., & Weitz, J. S. (2019) · Trends in Microbiology · doi:10.1016/j.tim.2018.12.006 · Cited by 18 · see citing works
Biogas starter from genome-scale data for methanogenic bioprocessing of protein waste
Chellapandi, P., & Saranya, S. V. (2023) · Systems Microbiology and Biomanufacturing · doi:10.1007/s43393-023-00191-2 · Cited by 17 · see citing works
Ankrah, N. Y. D., Wilkes, R. A., Zhang, F. Q., Zhu, D., Kaweesi, T., Aristilde, L., & Douglas, A. E. (2020) · The ISME Journal · doi:10.1038/s41396-020-0661-z · Cited by 17 · see citing works
Organ-on-Chip Technology for Aerobic Intestinal Host – Anaerobic Microbiota Research
Bossink, E. G. B. M., Segerink, L. I., & Odijk, M. (2021) · Organs-on-a-Chip · doi:10.1016/j.ooc.2021.100013 · Cited by 16 · see citing works
Lee, K. W., Shin, J. S., Lee, C. M., Han, H. Y., Yun, O., Kim, H. W., & Cho, T. J. (2023) · Nutrients · doi:10.3390/nu15051131 · Cited by 15 · see citing works
In silico encounters: harnessing metabolic modelling to understand plant–microbe interactions
Feierabend, M., & Töpfer, N. (2025) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuaf030 · Cited by 14 · see citing works
Targeting the gut to prevent and counteract metabolic disorders and pathologies during aging
Milenković, D., Capel, F., Combaret, L., Comte, B., Dardevet, D. P., Evrard, B., Guillet, C., Monfoulet, L., Pinel, A., Polakof, S., et al. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2089870 · Cited by 14 · see citing works
Li, L., Nielsen, J., & Chen, Y. (2024) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2024.103248 · Cited by 12 · see citing works
Meta‐Omics‐ and Metabolic Modeling‐Assisted Deciphering of Human Microbiota Metabolism
Sieow, B. F., Nurminen, T. J., Ling, H., & Chang, M. W. (2019) · Biotechnology Journal · doi:10.1002/biot.201800445 · Cited by 12 · see citing works
Müller, J., Spriewald, S., Stecher, B., Stadler, E., & Fuchs, T. M. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.06.027 · Cited by 11 · see citing works
Vandemoortele, B., & Vermeirssen, V. (2023) · European Journal of Neurology · doi:10.1111/ene.15819 · Cited by 10 · see citing works
Renardy, M., Prokopienko, A. J., Maxwell, J. R., Flusberg, D. A., Makaryan, S., Selimkhanov, J., Vakilynejad, M., Subramanian, K., & Wille, L. (2023) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.2952 · Cited by 9 · see citing works
Genome-scale Modeling of Metabolism and Macromolecular Expression and Their Applications
Dahal, S., Zhao, J., & Yang, L. (2020) · Biotechnology and Bioprocess Engineering · doi:10.1007/s12257-020-0061-2 · Cited by 9 · see citing works
Franks, S. J., Dunster, J. L., Carding, S. R., Lord, J. M., Hewison, M., Calder, P. C., & King, J. R. (2024) · Mathematical Medicine and Biology A Journal of the IMA · doi:10.1093/imammb/dqae017 · Cited by 8 · see citing works
Kuang, E., Marney, M. W., Cuevas, D., Edwards, R. A., & Forsberg, E. M. (2020) · Metabolites · doi:10.3390/metabo10040156 · Cited by 8 · see citing works
Singh, R. P., Dutta, A., Bose, T., & Mande, S. S. (2022) · Current Research in Microbial Sciences · doi:10.1016/j.crmicr.2022.100127 · Cited by 8 · see citing works
Quantitative modeling of human metabolism: A call for a community effort
Masid, M., & Vassily Hatzimanikatis, A. (2021) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2021.04.008 · Cited by 7 · see citing works
2′-Fucosyllactose helps butyrate producers outgrow competitors in infant gut microbiota simulations
Versluis, D. M., Schoemaker, R., Looijesteijn, E., Geurts, J. M. W., & Merks, R. M. H. (2024) · iScience · doi:10.1016/j.isci.2024.109085 · Cited by 7 · see citing works
Serum Metabolites Relate to Mucosal and Transmural Inflammation in Paediatric Crohn Disease
Suárez, R., Guruprasad, N., Tata, G., Zhang, Z., Focht, G., McClement, D. G., Navas‐López, V. M., Koletzko, S., Griffiths, A. M., Ledder, O., et al. (2024) · Journal of Crohn s and Colitis · doi:10.1093/ecco-jcc/jjae085 · Cited by 5 · see citing works
Feeding the World Inside Us: Our Gut Microbiomes, Diet, and Health
McClements, D. J. (2019) · Springer eBooks · doi:10.1007/978-3-030-12995-8_7 · Cited by 5 · see citing works
Heinken, A., & Thiele, I. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/640649 · Cited by 5 · see citing works
Self-citationValenbreder, I., Balăn, S., Breuer, M., & Adriaens, M. E. (2023) · Frontiers in Systems Biology · doi:10.3389/fsysb.2023.1074749 · Cited by 4 · see citing works
Ortiz, J. P. M., McClure, D. D., Shanahan, E. R., Dehghani, F., Holmes, A. J., & Read, M. N. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1965698 · Cited by 4 · see citing works
Gut Microbiome in Obesity Management
Heshmati, H. M. (2020) · IntechOpen eBooks · doi:10.5772/intechopen.91974 · Cited by 4 · see citing works
Probiotics in mitigation of food allergies and lactose intolerance
Vadala, B. S., Kumar, P., & Dwivedi, M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823733-5.00022-2 · Cited by 3 · see citing works
Premarathna, M., Rathnathilaka, T., Seneviratne, G., & Madawala, H. M. S. P. (2022) · Advances in Bioscience and Biotechnology · doi:10.4236/abb.2022.133007 · Cited by 3 · see citing works
Bacterial biomarkers: new aspects of colorectal tumors diagnosis: reality or fantasy
Shahbazi, T., Bakhshi, B., Fazeli, M. S., & Derakhshan-Nezhad, E. (2023) · European Journal of Cancer Prevention · doi:10.1097/cej.0000000000000760 · Cited by 3 · see citing works
Microbiome Engineering towards Disease Therapy
Krishnan, A., & Dasgupta, A. (2024) · Springer eBooks · doi:10.1007/978-981-97-6270-5_5 · Cited by 3 · see citing works
Gut Microbiota Shift in Obese Adolescents Born by Cesarean Section
Novikova, E., Belkova, N. L., Валерьевна, П. А., Romanitsa, A. I., Станиславовна, К. Е., Немченко, У. М., & Rychkova, L. V. (2020) · International Journal of Biomedicine · doi:10.21103/article10(4)_oa19 · Cited by 3 · see citing works
Microbial gatekeepers: unraveling the role of the gut microbiota enzyme DPP4 in diabetes management
Liao, L., Lin, F., & Gao, J. (2023) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2023.09.005 · Cited by 2 · see citing works
Ciaușu-Sliwa, D., Capotă, R., Bostănaru, A.-C., Năstasă, V., & Mareș, M. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27146246 · Cited by 2 · see citing works
Karunaratne, A. M. (2018) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.9215 · Cited by 2 · see citing works
Microbiome: Current Status and Future Applications
Ramos-Jiménez, R. G., & Morowitz, M. J. (2019) · Success in academic surgery · doi:10.1007/978-3-030-14644-3_14 · Cited by 2 · see citing works
Schuh, L. K., Weyler, C., & Heinzle, E. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.27249 · Cited by 2 · see citing works
Computational framework for exploring the interplay of diet and gut microbiota in autismPreprint
Palukuri, M. V., Shivakumar, S., Sahoo, S., & Rengaswamy, R. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/422931 · Cited by 2 · see citing works
Versluis, D. M., Schoemaker, R., Looijesteijn, E., Muysken, D., Jeurink, P. V., Paques, M., Geurts, J. M. W., & Merks, R. M. H. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.22.457032 · Cited by 2 · see citing works
Versluis, D. M., Wijtkamp, C., Looijesteijn, E., Geurts, J. M. W., & Merks, R. M. H. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.15.603541 · Cited by 2 · see citing works
McDonnell, K. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14062040 · Cited by 1 · see citing works
- Authors
- Magnúsdóttir, S., & Thiele, I.
- Affiliations
- University of Luxembourg (LU)
- Corresponding author
- Thiele, Ines
- Venue
- Current Opinion in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 51
- Pages
- 90-96
- ISSN
- 0958-1669 (ISSN-L)
- OpenAlex
- W2775633464
- Cited by
- 127
- References
- 83
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 10 · 2023: 14 · 2022: 16 · 2021: 27 · 2020: 17 · 2019: 26 · 2018: 8
- FWCI
- 1.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Current Opinion in Biotechnology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Open Repository and Bibliography (University of Luxembourg) (submittedVersion)
- Funders
- Luxembourg National Research Fund (FNR) ATTRACT programme grant (FNR/A12/01)
- Aides à la Formation-Recherche (FNR/6951193)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- gut microbiota, microbial metabolism, constraint-based metabolic modeling, genome-scale metabolic networks, metabolite exchange, microbial interactions, human health
- MeSH terms
- Gastrointestinal Microbiome, Computer Simulation, Humans, Models, Biological, Systems Biology, Metabolic Networks and Pathways, Host-Pathogen Interactions, Microbial Interactions, Microbiota
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review