Selection Finder (SelFi): A computational metabolic engineering tool to enable directed evolution of enzymes.

Hassanpour, Neda.
Ullah, Ehsan.
Yousofshahi, Mona.
Nair, Nikhil U.
Hassoun, Soha.

Directed evolution of enzymes consists of an iterative process of creating mutant libraries and choosing desired phenotypes through screening or selection until the enzymatic activity reaches a desired goal. The biggest challenge in directed enzyme evolution is identifying high-throughput screens or selections to isolate the variant(s) with the desired property. We present in this paper a computat... read more

Tufts University. Department of Computer Science.
Permanent URL
Original publication
Hassanpour, Neda, Ehsan Ullah, Mona Yousofshahi, Nikhil U. Nair, and Soha Hassoun. "Selection Finder (SelFi): A Computational Metabolic Engineering Tool to Enable Directed Evolution of Enzymes." Metabolic Engineering Communications 4 (June 2017): 37-47. doi:10.1016/j.meteno.2017.02.003.
ID: tufts:21609
To Cite: DCA Citation Guide
Usage: Detailed Rights