Studies using AdvanceSyn Toolkit

1. Wong, KM, Sim, BJH, Ling, MHT. 2023. Consistency Between Saccharomyces cerevisiae S288C Genome Scale Models (iND750 and iMM904). Acta Scientific Microbiology 6(3): 63-68.
2. Sim, BJH, Wong, KM, Ling, MHT. 2022. Metabolite Overproduction Potential of Saccharomyces cerevisiae S288C Explored Using Its Genome-Scale Metabolic Model, iMM904. EC Microbiology 18(7): 46-51.
3. Wee, YY, Kng, X, Sor, SX, Ling, MHT. 2022. Genome-Scale Metabolic Model-Based Reactome-Phenome Map of Synechocystis sp. PCC 6803, A Potential Biofuel Producer. Medicon Microbiology 1 (4): 02-08.
4. Tan, FL, Kuan, ZJ, Amir-Hamzah, N, Kng, X, Wee, YY, Sor, SX, Ling, MHT. 2022. Significant Differences in Media Components and Predicted Growth Rates of 58 Escherichia coli Genome-scale Models. Acta Scientific Microbiology 5(2): 56-68.
5. Amir-Hamzah, N, Kuan, ZJ, Ling, MHT. 2022. Kinetic Models with Default Enzyme Kinetics from Genome-scale Models. Acta Scientific Computer Sciences 4(1): 59-63.
6. Cho, JL, Ling, MHT. 2021. Adaptation of Whole Cell Kinetic Model Template, UniKin1, to Escherichia coli Whole Cell Kinetic Model, ecoJC20. EC Microbiology 17(2): 254-260.
7. Murthy, MV, Balan, D, Kamarudin, NJ, Wang, VCC, Tan, XT, Ramesh, A, Chew, SSM, Yablochkin, NV, Mathivanan, K, Ling, MHT. 2020. UniKin1: A Universal, Non-Species-Specific Whole Cell Kinetic Model. Acta Scientific Microbiology 3(10): 04-08.
8. Cheong, KC, Hon, RYH, Sander, CJ, Ang, IZL, Foong, JH, Ling, MHT. 2020. A Simulation Study on the Effects of Media Composition on the Growth Rate of Escherichia coli MG1655 using iAF1260 Model. Acta Scientific Microbiology 3(8): 40-44.
9. Chang, ED, Ling, MHT. 2019. Explaining Monod in Terms of Escherichia coli Metabolism. Acta Scientific Microbiology 2(9): 66-71.