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 PMID:31249867  

Cheminformatics-driven discovery of polymeric micelle formulations for poorly soluble drugs.

Vinicius M Alves | Duhyeong Hwang | Eugene Muratov | Marina Sokolsky-Papkov | Ekaterina Varlamova | Natasha Vinod | Chaemin Lim | Carolina H Andrade | Alexander Tropsha | Alexander Kabanov
Science advances | 2019

Many drug candidates fail therapeutic development because of poor aqueous solubility. We have conceived a computer-aided strategy to enable polymeric micelle-based delivery of poorly soluble drugs. We built models predicting both drug loading efficiency (LE) and loading capacity (LC) using novel descriptors of drug-polymer complexes. These models were employed for virtual screening of drug libraries, and eight drugs predicted to have either high LE and high LC or low LE and low LC were selected. Three putative positives, as well as three putative negative hits, were confirmed experimentally (implying 75% prediction accuracy). Fortuitously, simvastatin, a putative negative hit, was found to have the desired micelle solubility. Podophyllotoxin and simvastatin (LE of 95% and 87% and LC of 43% and 41%, respectively) were among the top five polymeric micelle-soluble compounds ever studied experimentally. The success of the strategy described herein suggests its broad utility for designing drug delivery systems.

Pubmed ID: 31249867

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NCI NIH HHS, United States
    Id: U01 CA207160
  • Agency: NCI NIH HHS, United States
    Id: U54 CA198999

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This is a list of tools and resources that we have found mentioned in this publication.


R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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RRID:SCR_002700

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ChemAxon (tool)

RRID:SCR_004111

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ChemSpider (tool)

RRID:SCR_006360

Collection of chemical structures. Provides access to structures, properties and associated information from hundreds of data sources to find compounds of interest and provides services to improve this data by curation and annotation and to integrate it with users applications.

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SciPy (tool)

RRID:SCR_008058

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