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. 2018 Jan 25;13(1):e0191838.
doi: 10.1371/journal.pone.0191838. eCollection 2018.

CLC-Pred: A freely available web-service for in silico prediction of human cell line cytotoxicity for drug-like compounds

Alexey A Lagunin  1   2 , Varvara I Dubovskaja  1 , Anastasia V Rudik  1 , Pavel V Pogodin  1 , Dmitry S Druzhilovskiy  1 , Tatyana A Gloriozova  1 , Dmitry A Filimonov  1 , Narahari G Sastry  3 , Vladimir V Poroikov  1
Affiliations

CLC-Pred: A freely available web-service for in silico prediction of human cell line cytotoxicity for drug-like compounds

Alexey A Lagunin et al. PLoS One. .

Abstract

In silico methods of phenotypic screening are necessary to reduce the time and cost of the experimental in vivo screening of anticancer agents through dozens of millions of natural and synthetic chemical compounds. We used the previously developed PASS (Prediction of Activity Spectra for Substances) algorithm to create and validate the classification SAR models for predicting the cytotoxicity of chemicals against different types of human cell lines using ChEMBL experimental data. A training set from 59,882 structures of compounds was created based on the experimental data (IG50, IC50, and % inhibition values) from ChEMBL. The average accuracy of prediction (AUC) calculated by leave-one-out and a 20-fold cross-validation procedure during the training was 0.930 and 0.927 for 278 cancer cell lines, respectively, and 0.948 and 0.947 for cytotoxicity prediction for 27 normal cell lines, respectively. Using the given SAR models, we developed a freely available web-service for cell-line cytotoxicity profile prediction (CLC-Pred: Cell-Line Cytotoxicity Predictor) based on the following structural formula: http://way2drug.com/Cell-line/.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. The prediction results for Sorafenib with the web-service.
See this image and copyright information in PMC

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Grants and funding

This work was supported by Russian Science Foundation (http://rscf.ru/en) - Department of Science & Technology (India, http://www.dst.gov.in/) grant № 16-45-02012 - INT/RUS/RSF/12. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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