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GrzybowskiBartosz Andrzej

Grzybowski, Bartosz A.
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dc.citation.endPage 6744 -
dc.citation.number 26 -
dc.citation.startPage 6736 -
dc.citation.title CHEMICAL SCIENCE -
dc.citation.volume 11 -
dc.contributor.author Szymkuc, Sara -
dc.contributor.author Gajewska, Ewa P. -
dc.contributor.author Molga, Karol -
dc.contributor.author Wolos, Agnieszka -
dc.contributor.author Roszak, Rafal -
dc.contributor.author Beker, Wiktor -
dc.contributor.author Moskal, Martyna -
dc.contributor.author Dittwald, Piotr -
dc.contributor.author Grzybowski, Bartosz A. -
dc.date.accessioned 2023-12-21T17:13:50Z -
dc.date.available 2023-12-21T17:13:50Z -
dc.date.created 2020-09-03 -
dc.date.issued 2020-07 -
dc.description.abstract A computer program for retrosynthetic planning helps develop multiple "synthetic contingency" plans for hydroxychloroquine and also routes leading to remdesivir, both promising but yet unproven medications against COVID-19. These plans are designed to navigate, as much as possible, around known and patented routes and to commence from inexpensive and diverse starting materials, so as to ensure supply in case of anticipated market shortages of commonly used substrates. Looking beyond the current COVID-19 pandemic, development of similar contingency syntheses is advocated for other already-approved medications, in case such medications become urgently needed in mass quantities to face other public-health emergencies. -
dc.identifier.bibliographicCitation CHEMICAL SCIENCE, v.11, no.26, pp.6736 - 6744 -
dc.identifier.doi 10.1039/d0sc01799j -
dc.identifier.issn 2041-6520 -
dc.identifier.scopusid 2-s2.0-85088134302 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/49520 -
dc.identifier.url https://pubs.rsc.org/en/content/articlelanding/2020/SC/D0SC01799J#!divAbstract -
dc.identifier.wosid 000552450400009 -
dc.language 영어 -
dc.publisher ROYAL SOC CHEMISTRY -
dc.title Computer-generated "synthetic contingency" plans at times of logistics and supply problems: scenarios for hydroxychloroquine and remdesivir -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Chemistry, Multidisciplinary -
dc.relation.journalResearchArea Chemistry -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordPlus PILOT-SCALE PROCESS -
dc.subject.keywordPlus OPTIMIZATION -

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