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Computational simulation and target prediction studies of solubility optimization of decitabine thro...

Computational simulation and target prediction studies of solubility optimization of decitabine thro...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_226619c59d614527adc3cae5ce653c33

Computational simulation and target prediction studies of solubility optimization of decitabine through supercritical solvent

About this item

Full title

Computational simulation and target prediction studies of solubility optimization of decitabine through supercritical solvent

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-11, Vol.12 (1), p.18875-12, Article 18875

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Computational analysis of drug solubility was carried out using machine learning approach. The solubility of Decitabine as model drug in supercritical CO
2
was studied as function of pressure and temperature to assess the feasibility of that for production of nanomedicine to enhance the solubility. The data was collected for solubility optimi...

Alternative Titles

Full title

Computational simulation and target prediction studies of solubility optimization of decitabine through supercritical solvent

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_226619c59d614527adc3cae5ce653c33

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_226619c59d614527adc3cae5ce653c33

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-21233-0

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