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Annual Review of Chemical and Biomolecular Engineering|April 8, 2014
Progress and challenges in control of chemical processesJay H Lee, Jong Min LeeBiotechnology and Bioengineering|December 28, 2024
CFD-Based Determination of Optimal Design and Operating Conditions of a Fermentation Reactor Using Bayesian OptimizationHongbum Choi, Kosan Roh, Jay H LeePlos One|November 4, 2015
State Estimation of the Time-Varying and Spatially Localized Concentration of Signal Molecules from the Stochastic Adsorption Dynamics on the Carbon Nanotube-Based Sensors and Its Application to Tumor Cell DetectionHong Jang, Jay H Lee, Richard D BraatzJournal of Theoretical Biology|March 24, 2005
Support vector machines for learning to identify the critical positions of a proteinAnshul Dubey, Matthew J Realff, Jay H Lee, et al.Computational Biology and Chemistry|July 25, 2006
Identifying the interacting positions of a protein using Boolean learning and support vector machinesAnshul Dubey, Matthew J Realff, Jay H Lee, et al.BMC Systems Biology|May 29, 2012
Genome-scale metabolic model of the fission yeast Schizosaccharomyces pombe and the reconciliation of in silico/in vivo mutant growthSeung Bum Sohn, Tae Yong Kim, Jay H Lee, et al.Current Opinion in Biotechnology|May 6, 2014
Protein engineering of cellulasesAndreas S Bommarius, Minjeong Sohn, Yuzhi Kang, et al.Biotechnology Advances|July 7, 2009
Modeling cellulase kinetics on lignocellulosic substratesPrabuddha Bansal, Mélanie Hall, Matthew J Realff, et al.Bioresource Technology|February 23, 2010
Multivariate statistical analysis of X-ray data from cellulose: a new method to determine degree of crystallinity and predict hydrolysis ratesPrabuddha Bansal, Mélanie Hall, Matthew J Realff, et al.The FEBS Journal|February 13, 2010
Cellulose crystallinity--a key predictor of the enzymatic hydrolysis rateMélanie Hall, Prabuddha Bansal, Jay H Lee, et al.Pageof 2