Meiyappan Lakshmanan
Meiyappan Lakshmanan
Research Scientist, Bioprocessing Technology Institute
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TitelZitiert vonJahr
Recon 2.2: from reconstruction to model of human metabolism
N Swainston, K Smallbone, H Hefzi, PD Dobson, J Brewer, M Hanscho, ...
Metabolomics 12 (7), 109, 2016
A consensus genome-scale reconstruction of Chinese hamster ovary cell metabolism
H Hefzi, KS Ang, M Hanscho, A Bordbar, D Ruckerbauer, M Lakshmanan, ...
Cell systems 3 (5), 434-443. e8, 2016
Software applications for flux balance analysis
M Lakshmanan, G Koh, BKS Chung, DY Lee
Briefings in bioinformatics 15 (1), 108-122, 2012
Elucidating rice cell metabolism under flooding and drought stresses using flux-based modeling and analysis
M Lakshmanan, Z Zhang, B Mohanty, JY Kwon, HY Choi, HJ Nam, DI Kim, ...
Plant physiology 162 (4), 2140-2150, 2013
Mammalian systems biotechnology reveals global cellular adaptations in a recombinant CHO cell line
FNK Yusufi, M Lakshmanan, YS Ho, BLW Loo, P Ariyaratne, Y Yang, ...
Cell systems 4 (5), 530-542. e6, 2017
Transcriptomics‐based strain optimization tool for designing secondary metabolite overproducing strains of Streptomyces coelicolor
M Kim, JS Yi, M Lakshmanan, DY Lee, BG Kim
Biotechnology and bioengineering 113 (3), 651-660, 2016
Unraveling the Light-Specific Metabolic and Regulatory Signatures of Rice through Combined in Silico Modeling and Multiomics Analysis
M Lakshmanan, SH Lim, B Mohanty, JK Kim, SH Ha, DY Lee
Plant Physiology 169 (4), 3002-3020, 2015
Genome‐scale metabolic modeling and in silico analysis of lipid accumulating yeast Candida tropicalis for dicarboxylic acid production
P Mishra, GY Park, M Lakshmanan, HS Lee, H Lee, MW Chang, ...
Biotechnology and bioengineering 113 (9), 1993-2004, 2016
Identification of candidate network hubs involved in metabolic adjustments of rice under drought stress by integrating transcriptome data and genome-scale metabolic network
B Mohanty, A Kitazumi, CYM Cheung, M Lakshmanan, G Benildo, IC Jang, ...
Plant Science 242, 224-239, 2016
Genome-scale metabolic network reconstruction and in silico flux analysis of the thermophilic bacterium Thermus thermophilus HB27
NR Lee, M Lakshmanan, S Aggarwal, JW Song, IA Karimi, DY Lee, ...
Microbial cell factories 13 (1), 61, 2014
Cofactor modification analysis: a computational framework to identify cofactor specificity engineering targets for strain improvement
M Lakshmanan, BKS Chung, C Liu, SW Kim, DY Lee
Journal of bioinformatics and computational biology 11 (06), 1343006, 2013
Genome-scale in silico modeling and analysis for designing synthetic terpenoid-producing microbial cell factories
BKS Chung, M Lakshmanan, M Klement, B Mohanty, DY Lee
Chemical Engineering Science 103, 100-108, 2013
Metabolic reconstruction and flux analysis of industrial Pichia yeasts
BKS Chung, M Lakshmanan, M Klement, CB Ching, DY Lee
Applied microbiology and biotechnology 97 (5), 1865-1873, 2013
Memote: A community-driven effort towards a standardized genome-scale metabolic model test suite
C Lieven, ME Beber, BG Olivier, FT Bergmann, M Ataman, P Babaei, ...
BioRxiv, 350991, 2018
Genome and evolution of the shade‐requiring medicinal herb Panax ginseng
NH Kim, M Jayakodi, SC Lee, BS Choi, W Jang, J Lee, HH Kim, ...
Plant biotechnology journal 16 (11), 1904-1917, 2018
Kinetic modeling of mammalian cell culture bioprocessing: the quest to advance biomanufacturing
S Kyriakopoulos, KS Ang, M Lakshmanan, Z Huang, S Yoon, R Gunawan, ...
Biotechnology journal 13 (3), 1700229, 2018
Flux-sum analysis identifies metabolite targets for strain improvement
M Lakshmanan, TY Kim, BKS Chung, SY Lee, DY Lee
BMC Systems Biology 9, 73, 2015
Ginseng Genome Database: an open-access platform for genomics of Panax ginseng
M Jayakodi, BS Choi, SC Lee, NH Kim, JY Park, W Jang, M Lakshmanan, ...
BMC plant biology 18 (1), 62, 2018
Genome-scale model-driven strain design for dicarboxylic acid production in Yarrowia lipolytica
P Mishra, NR Lee, M Lakshmanan, M Kim, BG Kim, DY Lee
BMC systems biology 12 (2), 12, 2018
In silico model-driven cofactor engineering strategies for improving the overall NADP (H) turnover in microbial cell factories
M Lakshmanan, K Yu, L Koduru, DY Lee
Journal of industrial microbiology & biotechnology 42 (10), 1401-1414, 2015
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