Show simple item record

OptDesign : Identifying Optimum Design Strategies in Strain Engineering for Biochemical Production

dc.contributor.authorJiang, Shouyong
dc.contributor.authorOtero Muras, Irene
dc.contributor.authorBanga, Julio R.
dc.contributor.authorWang, Yong
dc.contributor.authorKaiser, Marcus
dc.contributor.authorKrasnogor, Natalio
dc.date.accessioned2023-08-29T23:09:09Z
dc.date.available2023-08-29T23:09:09Z
dc.date.issued2022-04-15
dc.identifier215027900
dc.identifier330f0c37-5fe2-40c7-b2ed-ef294ca4b4d5
dc.identifier85128489233
dc.identifier.citationJiang , S , Otero Muras , I , Banga , J R , Wang , Y , Kaiser , M & Krasnogor , N 2022 , ' OptDesign : Identifying Optimum Design Strategies in Strain Engineering for Biochemical Production ' , ACS Synthetic Biology , vol. 11 , no. 4 , pp. 1531–1541 . https://doi.org/10.1021/acssynbio.1c00610en
dc.identifier.issn2161-5063
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/19759
dc.descriptionAcknowledgements This work has been supported by the Engineering and Physical Sciences Research Council (EPSRC) for funding project “Synthetic Portabolomics: Leading the way at the crossroads of the Digital and the Bio Economies (EP/N031962/1)”. SJ acknowledges funding from BBSRC Mitigation Fund RG16134-18. IMO and JRB acknowledges funding from MCIN/AEI/ 10.13039/501100011033 and “ERDF A way of making Europe” through grant DPI2017-82896-C2-2-R YNBIOCONTROL). JRB acknowledges funding from MCIN/AEI/ 10.13039/501100011033 through grant PID2020-117271RB-C22 (BIODYNAMICS). YW acknowledges funding from National Natural Science Foundation of China (Grant No. 61976225). NK is funded by a Royal Academy of Engineering Chair in Emerging Technology awarden
dc.format.extent11
dc.format.extent1218885
dc.format.extent2342093
dc.language.isoeng
dc.relation.ispartofACS Synthetic Biologyen
dc.subjectgrowth-coupled designeden
dc.subjectflux changeen
dc.subjectgenome-scale metabolicen
dc.subjectsystems biologyen
dc.subjectin silico strain designen
dc.subjectbiotechnologyen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQR Microbiologyen
dc.subjectTP Chemical technologyen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/N031962/1en
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subjectRG16134-18en
dc.subject.lccQA75en
dc.subject.lccQRen
dc.subject.lccTPen
dc.titleOptDesign : Identifying Optimum Design Strategies in Strain Engineering for Biochemical Productionen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.1021/acssynbio.1c00610
dc.identifier.vol11en
dc.identifier.iss4en


Files in this item

Thumbnail
Name:
Asmuje_AJH_Increased_Beat_To_A ...
Size:
558.0Kb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record