000216794 001__ 216794
000216794 005__ 20180913063607.0
000216794 0247_ $$2doi$$a10.1016/j.cbpa.2015.06.025
000216794 022__ $$a1367-5931
000216794 02470 $$2ISI$$a000364888800015
000216794 037__ $$aARTICLE
000216794 245__ $$aDesign of computational retrobiosynthesis tools for the design of de novo synthetic pathways
000216794 260__ $$bElsevier Sci Ltd$$c2015$$aOxford
000216794 269__ $$a2015
000216794 300__ $$a6
000216794 336__ $$aReviews
000216794 520__ $$aDesigning putative metabolic pathways is of great interest in synthetic biology. Retrobiosynthesis is a discipline that involves the design, evaluation, and optimization of de novo biosynthetic pathways for the production of high-value compounds and drugs from renewable resources and natural or engineered enzymes. The best candidate pathways are then engineered within a metabolic network of microorganisms that serve as synthetic platforms for synthetic biology. The complexity of biological chemistry and metabolism requires computational approaches to explorethe full possibilities of engineering synthetic pathways towards target compounds. Herein, we discuss recent developments in the design of computational tools for retrosynthetic biochemistry and outline the workflow and design elements for such tools.
000216794 700__ $$0244260$$g185577$$uEcole Polytech Fed Lausanne, Swiss Fed Inst Technol, LCSB, CH-1015 Lausanne, Switzerland$$aHadadi, Noushin
000216794 700__ $$uEcole Polytech Fed Lausanne, Swiss Fed Inst Technol, LCSB, CH-1015 Lausanne, Switzerland$$aHatzimanikatis, Vassily$$g174688$$0240657
000216794 773__ $$j28$$tCurrent Opinion In Chemical Biology$$q99-104
000216794 909C0 $$xU11422$$0252131$$pLCSB
000216794 909CO $$preview$$pSB$$ooai:infoscience.tind.io:216794
000216794 917Z8 $$x174688
000216794 937__ $$aEPFL-REVIEW-216794
000216794 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000216794 980__ $$aREVIEW