Year |
Citation |
Score |
2024 |
Hirose Y, Zielinski DC, Poudel S, Rychel K, Baker JL, Toya Y, Yamaguchi M, Heinken A, Thiele I, Kawabata S, Palsson BO, Nizet V. A genome-scale metabolic model of a globally disseminated hyperinvasive M1 strain of . Msystems. e0073624. PMID 39158303 DOI: 10.1128/msystems.00736-24 |
0.705 |
|
2024 |
Martinelli F, Heinken A, Henning AK, Ulmer MA, Hensen T, González A, Arnold M, Asthana S, Budde K, Engelman CD, Estaki M, Grabe HJ, Heston MB, Johnson S, Kastenmüller G, et al. Whole-body metabolic modelling reveals microbiome and genomic interactions on reduced urine formate levels in Alzheimer's disease. Scientific Reports. 14: 6095. PMID 38480804 DOI: 10.1038/s41598-024-55960-3 |
0.566 |
|
2023 |
Heinken A, El Kouche S, Rodriguez-Guéant RM, Guéant JL. Towards personalized genome-scale modeling of inborn errors of metabolism for systems medicine applications. Metabolism: Clinical and Experimental. 155738. PMID 37981189 DOI: 10.1016/j.metabol.2023.155738 |
0.395 |
|
2023 |
Heinken A, Hulshof TO, Nap B, Martinelli F, Basile A, O'Brolchain A, O'Sullivan NF, Gallagher C, Magee E, McDonagh F, Lalor I, Bergin M, Evans P, Daly R, Farrell R, et al. APOLLO: A genome-scale metabolic reconstruction resource of 247,092 diverse human microbes spanning multiple continents, age groups, and body sites. Biorxiv : the Preprint Server For Biology. PMID 37873072 DOI: 10.1101/2023.10.02.560573 |
0.713 |
|
2023 |
Hertel J, Heinken A, Fässler D, Thiele I. Causal inference on microbiome-metabolome relations in observational host-microbiome data via in silico in vivo association pattern analyses. Cell Reports Methods. 3: 100615. PMID 37848031 DOI: 10.1016/j.crmeth.2023.100615 |
0.668 |
|
2023 |
Martinelli F, Heinken A, Henning AK, Wörheide MA, Hensen T, González A, Arnold M, Asthana S, Budde K, Engelman CD, Estaki M, Grabe HJ, Heston M, Johnson S, Kastenmüller G, et al. Whole-body modelling reveals microbiome and genomic interactions on reduced urine formate levels in Alzheimer's disease. Research Square. PMID 37720019 DOI: 10.21203/rs.3.rs-3306891/v1 |
0.535 |
|
2023 |
Ternes D, Tsenkova M, Pozdeev VI, Meyers M, Koncina E, Atatri S, Schmitz M, Karta J, Schmoetten M, Heinken A, Rodriguez F, Delbrouck C, Gaigneaux A, Ginolhac A, Nguyen TTD, et al. Author Correction: The gut microbial metabolite formate exacerbates colorectal cancer progression. Nature Metabolism. PMID 37709964 DOI: 10.1038/s42255-023-00898-5 |
0.533 |
|
2023 |
Scott WT, Benito-Vaquerizo S, Zimmermann J, Bajić D, Heinken A, Suarez-Diez M, Schaap PJ. A structured evaluation of genome-scale constraint-based modeling tools for microbial consortia. Plos Computational Biology. 19: e1011363. PMID 37578975 DOI: 10.1371/journal.pcbi.1011363 |
0.322 |
|
2023 |
van der Spek A, Stewart ID, Kühnel B, Pietzner M, Alshehri T, Gauß F, Hysi PG, MahmoudianDehkordi S, Heinken A, Luik AI, Ladwig KH, Kastenmüller G, Menni C, Hertel J, Ikram MA, et al. Circulating metabolites modulated by diet are associated with depression. Molecular Psychiatry. PMID 37495887 DOI: 10.1038/s41380-023-02180-2 |
0.546 |
|
2023 |
Basile A, Heinken A, Hertel J, Smarr L, Li W, Treu L, Valle G, Campanaro S, Thiele I. Longitudinal flux balance analyses of a patient with episodic colonic inflammation reveals microbiome metabolic dynamics. Gut Microbes. 15: 2226921. PMID 37438876 DOI: 10.1080/19490976.2023.2226921 |
0.666 |
|
2023 |
Noecker C, Sanchez J, Bisanz JE, Escalante V, Alexander M, Trepka K, Heinken A, Liu Y, Dodd D, Thiele I, DeFelice BC, Turnbaugh PJ. Systems biology elucidates the distinctive metabolic niche filled by the human gut microbe Eggerthella lenta. Plos Biology. 21: e3002125. PMID 37205710 DOI: 10.1371/journal.pbio.3002125 |
0.717 |
|
2023 |
Heinken A, Hertel J, Acharya G, Ravcheev DA, Nyga M, Okpala OE, Hogan M, Magnúsdóttir S, Martinelli F, Nap B, Preciat G, Edirisinghe JN, Henry CS, Fleming RMT, Thiele I. Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine. Nature Biotechnology. PMID 36658342 DOI: 10.1038/s41587-022-01628-0 |
0.826 |
|
2023 |
Kindschuh WF, Baldini F, Liu MC, Liao J, Meydan Y, Lee HH, Heinken A, Thiele I, Thaiss CA, Levy M, Korem T. Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome. Nature Microbiology. PMID 36635575 DOI: 10.1038/s41564-022-01293-8 |
0.708 |
|
2022 |
Hertel J, Fässler D, Heinken A, Weiß FU, Rühlemann M, Bang C, Franke A, Budde K, Henning AK, Petersmann A, Völker U, Völzke H, Thiele I, Grabe HJ, Lerch MM, et al. NMR Metabolomics Reveal Urine Markers of Microbiome Diversity and Identify Benzoate Metabolism as a Mediator between High Microbial Alpha Diversity and Metabolic Health. Metabolites. 12. PMID 35448495 DOI: 10.3390/metabo12040308 |
0.636 |
|
2022 |
Ternes D, Tsenkova M, Pozdeev VI, Meyers M, Koncina E, Atatri S, Schmitz M, Karta J, Schmoetten M, Heinken A, Rodriguez F, Delbrouck C, Gaigneaux A, Ginolhac A, Nguyen TTD, et al. The gut microbial metabolite formate exacerbates colorectal cancer progression. Nature Metabolism. 4: 458-475. PMID 35437333 DOI: 10.1038/s42255-022-00558-0 |
0.561 |
|
2022 |
Heinken A, Thiele I. Microbiome Modelling Toolbox 2.0: Efficient, tractable modelling of microbiome communities. Bioinformatics (Oxford, England). PMID 35157025 DOI: 10.1093/bioinformatics/btac082 |
0.594 |
|
2021 |
Heinken A, Magnúsdóttir S, Fleming RMT, Thiele I. DEMETER: Efficient simultaneous curation of genome-scale reconstructions guided by experimental data and refined gene annotations. Bioinformatics (Oxford, England). PMID 34473240 DOI: 10.1093/bioinformatics/btab622 |
0.772 |
|
2021 |
Heinken A, Basile A, Hertel J, Thinnes C, Thiele I. Genome-Scale Metabolic Modeling of the Human Microbiome in the Era of Personalized Medicine. Annual Review of Microbiology. PMID 34314593 DOI: 10.1146/annurev-micro-060221-012134 |
0.681 |
|
2021 |
Hertel J, Heinken A, Martinelli F, Thiele I. Integration of constraint-based modeling with fecal metabolomics reveals large deleterious effects of spp. on community butyrate production. Gut Microbes. 13: 1-23. PMID 34057024 DOI: 10.1080/19490976.2021.1915673 |
0.682 |
|
2021 |
Heinken A, Hertel J, Thiele I. Metabolic modelling reveals broad changes in gut microbial metabolism in inflammatory bowel disease patients with dysbiosis. Npj Systems Biology and Applications. 7: 19. PMID 33958598 DOI: 10.1038/s41540-021-00178-6 |
0.653 |
|
2020 |
Baloni P, Funk CC, Yan J, Yurkovich JT, Kueider-Paisley A, Nho K, Heinken A, Jia W, Mahmoudiandehkordi S, Louie G, Saykin AJ, Arnold M, Kastenmüller G, Griffiths WJ, Thiele I, et al. Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer's Disease. Cell Reports. Medicine. 1: 100138. PMID 33294859 DOI: 10.1016/j.xcrm.2020.100138 |
0.596 |
|
2020 |
Thiele I, Sahoo S, Heinken A, Hertel J, Heirendt L, Aurich MK, Fleming RM. Personalized whole-body models integrate metabolism, physiology, and the gut microbiome. Molecular Systems Biology. 16: e8982. PMID 32463598 DOI: 10.15252/Msb.20198982 |
0.829 |
|
2019 |
Hertel J, Harms AC, Heinken A, Baldini F, Thinnes CC, Glaab E, Vasco DA, Pietzner M, Stewart ID, Wareham NJ, Langenberg C, Trenkwalder C, Krüger R, Hankemeier T, Fleming RMT, et al. Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson's Disease. Cell Reports. 29: 1767-1777.e8. PMID 31722195 DOI: 10.1016/J.Celrep.2019.10.035 |
0.736 |
|
2019 |
Heinken A, Ravcheev DA, Baldini F, Heirendt L, Fleming RMT, Thiele I. Systematic assessment of secondary bile acid metabolism in gut microbes reveals distinct metabolic capabilities in inflammatory bowel disease. Microbiome. 7: 75. PMID 31092280 DOI: 10.1186/S40168-019-0689-3 |
0.795 |
|
2019 |
Greenhalgh K, Ramiro-Garcia J, Heinken A, Ullmann P, Bintener T, Pacheco MP, Baginska J, Shah P, Frachet A, Halder R, Fritz JV, Sauter T, Thiele I, Haan S, Letellier E, et al. Integrated In Vitro and In Silico Modeling Delineates the Molecular Effects of a Synbiotic Regimen on Colorectal-Cancer-Derived Cells. Cell Reports. 27: 1621-1632.e9. PMID 31042485 DOI: 10.1016/J.Celrep.2019.04.001 |
0.624 |
|
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 |
0.721 |
|
2018 |
Baldini F, Heinken A, Heirendt L, Magnusdottir S, Fleming RMT, Thiele I. The Microbiome Modeling Toolbox: from microbial interactions to personalized microbial communities. Bioinformatics (Oxford, England). PMID 30462168 DOI: 10.1093/Bioinformatics/Bty941 |
0.781 |
|
2018 |
Noronha A, Modamio J, Jarosz Y, Guerard E, Sompairac N, Preciat G, Daníelsdóttir AD, Krecke M, Merten D, Haraldsdóttir HS, Heinken A, Heirendt L, Magnúsdóttir S, Ravcheev DA, Sahoo S, et al. The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease. Nucleic Acids Research. PMID 30371894 DOI: 10.1093/Nar/Gky992 |
0.79 |
|
2018 |
Magnúsdóttir S, Heinken A, Fleming RMT, Thiele I. Reply to "Challenges in modeling the human gut microbiome". Nature Biotechnology. 36: 686-691. PMID 30080835 DOI: 10.1038/Nbt.4212 |
0.795 |
|
2018 |
Brunk E, Sahoo S, Zielinski DC, Altunkaya A, Dräger A, Mih N, Gatto F, Nilsson A, Preciat Gonzalez GA, Aurich MK, Prlić A, Sastry A, Danielsdottir AD, Heinken A, Noronha A, et al. Recon3D enables a three-dimensional view of gene variation in human metabolism. Nature Biotechnology. PMID 29457794 DOI: 10.1038/Nbt.4072 |
0.787 |
|
2017 |
Thiele I, Clancy CM, Heinken A, Fleming RMT. Quantitative systems pharmacology and the personalized drug-microbiota-diet axis. Current Opinion in Systems Biology. 4: 43-52. PMID 32984662 DOI: 10.1016/J.Coisb.2017.06.001 |
0.565 |
|
2017 |
Rowland I, Gibson G, Heinken A, Scott K, Swann J, Thiele I, Tuohy K. Gut microbiota functions: metabolism of nutrients and other food components. European Journal of Nutrition. PMID 28393285 DOI: 10.1007/S00394-017-1445-8 |
0.678 |
|
2017 |
Heinken A. Systems biology: Prediction of health-relevant human-microbial co-metabolism through a computational framework Toxicology Letters. 280: S12. DOI: 10.1016/j.toxlet.2017.07.017 |
0.367 |
|
2017 |
Thiele I, Clancy CM, Heinken A, Fleming RM. Quantitative systems pharmacology and the personalized drug–microbiota–diet axis Current Opinion in Systems Biology. 4: 43-52. DOI: 10.1016/J.COISB.2017.06.001 |
0.448 |
|
2016 |
Magnúsdóttir S, Heinken A, Kutt L, Ravcheev DA, Bauer E, Noronha A, Greenhalgh K, Jäger C, Baginska J, Wilmes P, Fleming RM, Thiele I. Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota. Nature Biotechnology. PMID 27893703 DOI: 10.1038/Nbt.3703 |
0.786 |
|
2015 |
Heinken A, Thiele I. Systems biology of host-microbe metabolomics. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. 7: 195-219. PMID 25929487 DOI: 10.1002/Wsbm.1301 |
0.673 |
|
2015 |
Heinken A, Thiele I. Systematic prediction of health-relevant human-microbial co-metabolism through a computational framework. Gut Microbes. 6: 120-30. PMID 25901891 DOI: 10.1080/19490976.2015.1023494 |
0.719 |
|
2015 |
Heinken A, Thiele I. Anoxic Conditions Promote Species-Specific Mutualism between Gut Microbes In Silico. Applied and Environmental Microbiology. 81: 4049-61. PMID 25841013 DOI: 10.1128/Aem.00101-15 |
0.599 |
|
2014 |
Heinken A, Khan MT, Paglia G, Rodionov DA, Harmsen HJ, Thiele I. Functional metabolic map of Faecalibacterium prausnitzii, a beneficial human gut microbe. Journal of Bacteriology. 196: 3289-302. PMID 25002542 DOI: 10.1128/Jb.01780-14 |
0.719 |
|
2013 |
Thiele I, Heinken A, Fleming RM. A systems biology approach to studying the role of microbes in human health. Current Opinion in Biotechnology. 24: 4-12. PMID 23102866 DOI: 10.1016/J.Copbio.2012.10.001 |
0.695 |
|
2013 |
Heinken A, Sahoo S, Fleming RM, Thiele I. Systems-level characterization of a host-microbe metabolic symbiosis in the mammalian gut. Gut Microbes. 4: 28-40. PMID 23022739 DOI: 10.4161/Gmic.22370 |
0.807 |
|
2012 |
Sigurdsson G, Fleming RM, Heinken A, Thiele I. A systems biology approach to drug targets in Pseudomonas aeruginosa biofilm. Plos One. 7: e34337. PMID 22523548 DOI: 10.1371/Journal.Pone.0034337 |
0.566 |
|
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