SCOPUS 정보 검색 플랫폼

Volumn 31, Issue 4, 2015, Pages 610-611

MOST: A software environment for constraint-based metabolic modeling and strain design

(7) Kelley, James J a Lane, Anatoliy a Li, Xiaowei a Mutthoju, Brahmaji a Maor, Shay a Egen, Dennis a Lun, Desmond S a,b

a USA (United States)

b UNIVERSITY OF SOUTH AUSTRALIA (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; COMPUTER PROGRAM; GENE INACTIVATION; METABOLIC FLUX ANALYSIS; METABOLISM; PROCEDURES;

ALGORITHMS; ANIMALS; COMPUTATIONAL BIOLOGY; GENE KNOCKOUT TECHNIQUES; METABOLIC FLUX ANALYSIS; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; SOFTWARE;

EID: 84928991596 PISSN: 13674803 EISSN: 14602059 Source Type: Journal
DOI: 10.1093/bioinformatics/btu685 Document Type: Article

Times cited : (9)

References (9)

1
- 84856247380
- FAME, the flux analysis and modeling environment
- Boele, J. et al. (2012) FAME, the flux analysis and modeling environment. BMC Syst. Biol., 6, 8.
- (2012) BMC Syst. Biol. , vol.6 , pp. 8
- Boele, J.¹

2
- 0242487787
- OptKnock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization
- Burgard, A.P. et al. (2003) OptKnock: a bilevel programming framework for identifying gene knockout strategies for microbial strain optimization. Biotechnol. Bioeng., 84, 647-657.
- (2003) Biotechnol. Bioeng. , vol.84 , pp. 647-657
- Burgard, A.P.¹

3
- 84863532131
- Truncated branch and bound achieves efficient constraint-based genetic design
- Egen, D. and Lun, D.S. (2012) Truncated branch and bound achieves efficient constraint-based genetic design. Bioinformatics, 28, 1619-1623.
- (2012) Bioinformatics , vol.28 , pp. 1619-1623
- Egen, D.¹ Lun, D.S.²

4
- 0037342537
- The systems biology markup language (SBML): A medium for representation and exchange of biochemical network models
- Hucka, M. et al. (2003) The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics, 19, 524-531.
- (2003) Bioinformatics , vol.19 , pp. 524-531
- Hucka, M.¹

5
- 84892991094
- Software applications for flux balance analysis
- Lakshmanan, M. et al. (2014) Software applications for flux balance analysis. Brief. Bioinform., 15, 108-122.
- (2014) Brief. Bioinform. , vol.15 , pp. 108-122
- Lakshmanan, M.¹

6
- 69249146187
- Large-scale identification of genetic design strategies using localsearch
- Lun, D.S. et al. (2009) Large-scale identification of genetic design strategies using localsearch.Mol. Syst. Biol., 5, 296.
- (2009) Mol. Syst. Biol. , vol.5 , pp. 296
- Lun, D.S.¹

7
- 77749320898
- What is flux balance analysis?
- Orth, J.D. et al. (2010) What is flux balance analysis? Nat. Biotechnol., 28, 245-248.
- (2010) Nat. Biotechnol. , vol.28 , pp. 245-248
- Orth, J.D.¹

8
- 30044437327
- Evolutionary programming as a platform for in silico metabolic engineering
- Patil, K.R. et al. (2005) Evolutionary programming as a platform for in silico metabolic engineering. BMC Bioinformatics, 6, 308.
- (2005) BMC Bioinformatics , vol.6 , pp. 308
- Patil, K.R.¹

9
- 77950960250
- OptFlux: An open-source software platform for in silico metabolic engineering
- Rocha, I. et al. (2010) OptFlux: an open-source software platform for in silico metabolic engineering. BMC Syst. Biol., 4, 45.
- (2010) BMC Syst. Biol. , vol.4 , pp. 45
- Rocha, I.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.