Computational Design Strategies for Synthesizing Fusion Proteins and Enhancing Their Expression

We developed cost-effective computational platforms, SynLinker [1] and COOL [2,3], for rationally designing synthetic fusion proteins and enhancing their expression in hosts, respectively. These platforms, in conjunction with other computational tools, will facilitate synthetic fusion protein design and production for diverse biotechnological, biopharmaceutical and biomedical applications. In this talk, I will present a general workflow and working principles of in silico designing synthetic gene and fusion proteins [4] and demonstrate its applicability via several case studies. Current challenges and future direction are also discussed.

References:

[1] Liu, C., J. X. Chin, and D.-Y. Lee. 2015. SynLinker: an integrated system for designing linkers and synthetic fusion proteins. Bioinformatics, 31(22): 3700-3702.

[2] Chung, B. K. S. and D.-Y. Lee. 2012. Computational codon optimization of synthetic gene for protein expression. BMC Syst. Biol., 6: 134.

[3] Chin, J. X., B. K.-S. Chung and D.-Y. Lee. 2014. Codon Optimization On-Line (COOL): a web-based multi-objective optimization platform for synthetic gene design. Bioinformatics, 30(15): 2210-2212.

[4] Yu, K., C. Liu, B.-G Kim and D.-Y. Lee. 2015. Synthetic fusion protein design and applications. Biotechnol. Adv., 33: 155-164.