Näytä suppeat kuvailutiedot

SynToxProfiler: An interactive analysis of drug combination synergy, toxicity and efficacy

Ianevski A; Aittokallio T; Kononov A; Giri AK; Timonen S

dc.contributor.authorIanevski A
dc.contributor.authorAittokallio T
dc.contributor.authorKononov A
dc.contributor.authorGiri AK
dc.contributor.authorTimonen S
dc.date.accessioned2022-10-27T11:50:11Z
dc.date.available2022-10-27T11:50:11Z
dc.identifier.urihttps://www.utupub.fi/handle/10024/155282
dc.description.abstractDrug combinations are becoming a standard treatment of many complex diseases due to their capability to overcome resistance to monotherapy. In the current preclinical drug combination screening, the top combinations for further study are often selected based on synergy alone, without considering the combination efficacy and toxicity effects, even though these are critical determinants for the clinical success of a therapy. To promote the prioritization of drug combinations based on integrated analysis of synergy, efficacy and toxicity profiles, we implemented a web-based open-source tool, SynToxProfiler (Synergy-Toxicity-Profiler). When applied to 20 anti-cancer drug combinations tested both in healthy control and T-cell prolymphocytic leukemia (T-PLL) patient cells, as well as to 77 anti-viral drug pairs tested in Huh7 liver cell line with and without Ebola virus infection, SynToxProfiler prioritized as top hits those synergistic drug pairs that showed higher selective efficacy (difference between efficacy and toxicity), which offers an improved likelihood for clinical success.
dc.language.isoen
dc.titleSynToxProfiler: An interactive analysis of drug combination synergy, toxicity and efficacy
dc.identifier.urnURN:NBN:fi-fe2021042821294
dc.relation.volume16
dc.contributor.organizationfi=matematiikka|en=Mathematics|
dc.contributor.organization-code2606101
dc.converis.publication-id46302340
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/46302340
dc.identifier.eissn1553-7358
dc.identifier.jour-issn1553-7358
dc.okm.affiliatedauthorAittokallio, Tero
dc.okm.discipline317 Farmasiafi_FI
dc.okm.discipline111 Mathematicsen_GB
dc.okm.discipline111 Matematiikkafi_FI
dc.okm.discipline317 Pharmacyen_GB
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeJournal article
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.countryUnited Statesen_GB
dc.publisher.country-codeUS
dc.relation.doi10.1371/journal.pcbi.1007604
dc.relation.ispartofjournalPLoS Computational Biology
dc.relation.issue2
dc.year.issued2020


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot