Eric Ni, Eehjoe Kwon, Lauren M Young, Klara Felsovalyi, Jennifer Fuller, Timothy Cardozo
{"title":"How polypharmacologic is each chemogenomics library?","authors":"Eric Ni, Eehjoe Kwon, Lauren M Young, Klara Felsovalyi, Jennifer Fuller, Timothy Cardozo","doi":"10.4155/fdd-2019-0032","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>High-throughput phenotypic screens have emerged as a promising avenue for small-molecule drug discovery. The challenge faced in high-throughput phenotypic screens is target deconvolution once a small molecule hit is identified. Chemogenomics libraries have emerged as an important tool for meeting this challenge. Here, we investigate their target-specificity by deriving a 'polypharmacology index' for broad chemogenomics screening libraries.</p><p><strong>Methods: </strong>All known targets of all the compounds in each library were plotted as a histogram and fitted to a Boltzmann distribution, whose linearized slope is indicative of the overall polypharmacology of the library.</p><p><strong>Results & conclusion: </strong>Comparison of libraries clearly distinguished the most target-specific library, which might be assumed to be more useful for target deconvolution in a phenotypic screen.</p>","PeriodicalId":73122,"journal":{"name":"Future drug discovery","volume":"2 1","pages":"FDD26"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4155/fdd-2019-0032","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future drug discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4155/fdd-2019-0032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Aim: High-throughput phenotypic screens have emerged as a promising avenue for small-molecule drug discovery. The challenge faced in high-throughput phenotypic screens is target deconvolution once a small molecule hit is identified. Chemogenomics libraries have emerged as an important tool for meeting this challenge. Here, we investigate their target-specificity by deriving a 'polypharmacology index' for broad chemogenomics screening libraries.
Methods: All known targets of all the compounds in each library were plotted as a histogram and fitted to a Boltzmann distribution, whose linearized slope is indicative of the overall polypharmacology of the library.
Results & conclusion: Comparison of libraries clearly distinguished the most target-specific library, which might be assumed to be more useful for target deconvolution in a phenotypic screen.