Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 22

1.

Design Principles of Microbial Communities: From Understanding to Engineering.

Song HS.

Curr Genomics. 2018 Dec;19(8):699. No abstract available.

PMID:
30532648
2.

Species-specific transcriptomic network inference of interspecies interactions.

McClure RS, Overall CC, Hill EA, Song HS, Charania M, Bernstein HC, McDermott JE, Beliaev AS.

ISME J. 2018 Aug;12(8):2011-2023. doi: 10.1038/s41396-018-0145-6. Epub 2018 May 24.

PMID:
29795448
3.

Phenotypic responses to interspecies competition and commensalism in a naturally-derived microbial co-culture.

Khan N, Maezato Y, McClure RS, Brislawn CJ, Mobberley JM, Isern N, Chrisler WB, Markillie LM, Barney BM, Song HS, Nelson WC, Bernstein HC.

Sci Rep. 2018 Jan 10;8(1):297. doi: 10.1038/s41598-017-18630-1.

4.

Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process.

Song HS, Thomas DG, Stegen JC, Li M, Liu C, Song X, Chen X, Fredrickson JK, Zachara JM, Scheibe TD.

Front Microbiol. 2017 Sep 29;8:1866. doi: 10.3389/fmicb.2017.01866. eCollection 2017.

5.

Sequential computation of elementary modes and minimal cut sets in genome-scale metabolic networks using alternate integer linear programming.

Song HS, Goldberg N, Mahajan A, Ramkrishna D.

Bioinformatics. 2017 Aug 1;33(15):2345-2353. doi: 10.1093/bioinformatics/btx171.

PMID:
28369193
6.

Trade-offs between microbiome diversity and productivity in a stratified microbial mat.

Bernstein HC, Brislawn C, Renslow RS, Dana K, Morton B, Lindemann SR, Song HS, Atci E, Beyenal H, Fredrickson JK, Jansson JK, Moran JJ.

ISME J. 2017 Feb;11(2):405-414. doi: 10.1038/ismej.2016.133. Epub 2016 Nov 1.

7.

Microbial Community Metabolic Modeling: A Community Data-Driven Network Reconstruction.

Henry CS, Bernstein HC, Weisenhorn P, Taylor RC, Lee JY, Zucker J, Song HS.

J Cell Physiol. 2016 Nov;231(11):2339-45. doi: 10.1002/jcp.25428. Epub 2016 Jun 2.

8.

A Generalized Spatial Measure for Resilience of Microbial Systems.

Renslow RS, Lindemann SR, Song HS.

Front Microbiol. 2016 Apr 7;7:443. doi: 10.3389/fmicb.2016.00443. eCollection 2016.

9.

Comment on "Mathematical modeling of unicellular microalgae and cyanobacteria metabolism for biofuel production" by Baroukh et al. [Curr Opin Biotechnol. 2015, 33:198-205].

Song HS, Ramkrishna D.

Curr Opin Biotechnol. 2016 Apr;38:198-9. doi: 10.1016/j.copbio.2016.02.026. Epub 2016 Mar 16. No abstract available.

PMID:
26994667
10.

Engineering microbial consortia for controllable outputs.

Lindemann SR, Bernstein HC, Song HS, Fredrickson JK, Fields MW, Shou W, Johnson DR, Beliaev AS.

ISME J. 2016 Sep;10(9):2077-84. doi: 10.1038/ismej.2016.26. Epub 2016 Mar 11.

11.

Integrating Ecological and Engineering Concepts of Resilience in Microbial Communities.

Song HS, Renslow RS, Fredrickson JK, Lindemann SR.

Front Microbiol. 2015 Dec 1;6:1298. doi: 10.3389/fmicb.2015.01298. eCollection 2015.

12.

Integrated in silico Analyses of Regulatory and Metabolic Networks of Synechococcus sp. PCC 7002 Reveal Relationships between Gene Centrality and Essentiality.

Song HS, McClure RS, Bernstein HC, Overall CC, Hill EA, Beliaev AS.

Life (Basel). 2015 Mar 27;5(2):1127-40. doi: 10.3390/life5021127.

13.

Prediction of metabolic flux distribution from gene expression data based on the flux minimization principle.

Song HS, Reifman J, Wallqvist A.

PLoS One. 2014 Nov 14;9(11):e112524. doi: 10.1371/journal.pone.0112524. eCollection 2014.

14.

Dynamic modeling of aerobic growth of Shewanella oneidensis. Predicting triauxic growth, flux distributions, and energy requirement for growth.

Song HS, Ramkrishna D, Pinchuk GE, Beliaev AS, Konopka AE, Fredrickson JK.

Metab Eng. 2013 Jan;15:25-33. doi: 10.1016/j.ymben.2012.08.004. Epub 2012 Sep 26.

PMID:
23022551
15.

Exacting predictions by cybernetic model confirmed experimentally: steady state multiplicity in the chemostat.

Kim JI, Song HS, Sunkara SR, Lali A, Ramkrishna D.

Biotechnol Prog. 2012 Sep-Oct;28(5):1160-6. doi: 10.1002/btpr.1583. Epub 2012 Jul 16.

PMID:
22736577
16.

Prediction of dynamic behavior of mutant strains from limited wild-type data.

Song HS, Ramkrishna D.

Metab Eng. 2012 Mar;14(2):69-80.

PMID:
22500302
17.

Prediction of dynamic metabolic behavior of Pediococcus pentosaceus producing lactic acid from lignocellulosic sugars.

Adler P, Song HS, Kästner K, Ramkrishna D, Kunz B.

Biotechnol Prog. 2012 May-Jun;28(3):623-35. doi: 10.1002/btpr.1521. Epub 2012 Feb 9.

PMID:
22275308
18.

On enhancing productivity of bioethanol with multiple species.

Geng J, Song HS, Yuan J, Ramkrishna D.

Biotechnol Bioeng. 2012 Jun;109(6):1508-17. doi: 10.1002/bit.24419. Epub 2012 Jan 7.

PMID:
22234672
19.

Cybernetic models based on lumped elementary modes accurately predict strain-specific metabolic function.

Song HS, Ramkrishna D.

Biotechnol Bioeng. 2011 Jan;108(1):127-40. doi: 10.1002/bit.22922.

PMID:
20830732
20.

Prediction of metabolic function from limited data: Lumped hybrid cybernetic modeling (L-HCM).

Song HS, Ramkrishna D.

Biotechnol Bioeng. 2010 Jun 1;106(2):271-84. doi: 10.1002/bit.22692.

PMID:
20148411

Supplemental Content

Loading ...
Support Center