dc.contributor.author |
Renz, Alina |
|
dc.contributor.author |
Widerspick, Lina |
|
dc.contributor.author |
Dräger, Andreas |
|
dc.date.accessioned |
2020-05-07T13:09:08Z |
|
dc.date.available |
2020-05-07T13:09:08Z |
|
dc.date.issued |
2020 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/100341 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Oxford : Oxford University Press |
de_DE |
dc.relation.uri |
https://doi.org/10.1093/bioinformatics/btaa813 |
de_DE |
dc.subject.classification |
SARS-CoV-2 , COVID-19 , Wirkstoff , Systembiologie , Krankheit , Modellierung , Modell |
de_DE |
dc.subject.ddc |
004 |
de_DE |
dc.subject.ddc |
500 |
de_DE |
dc.subject.ddc |
570 |
de_DE |
dc.subject.ddc |
610 |
de_DE |
dc.title |
FBA reveals guanylate kinase as a potential target for antiviral therapies against SARS-CoV-2 |
de_DE |
dc.type |
Article |
de_DE |
utue.kommentar.intern |
Zunächst als Preprint auf Zenodo erschienen: https://doi.org/10.5281/zenodo.3752641 |
de_DE |
utue.publikation.seiten |
i813–i821 |
de_DE |
utue.personen.roh |
Renz, Alina |
|
utue.personen.roh |
Widerspick, Lina |
|
utue.personen.roh |
Dräger, Andreas |
|
dcterms.isPartOf.ZSTitelID |
Bioinformatics |
de_DE |
dcterms.isPartOf.ZS-Issue |
Supplement_2 |
de_DE |
dcterms.isPartOf.ZS-Volume |
36 |
de_DE |
utue.fakultaet |
04 Medizinische Fakultät |
de_DE |
utue.fakultaet |
07 Mathematisch-Naturwissenschaftliche Fakultät |
de_DE |