Literature DB >> 23080119

CDRUG: a web server for predicting anticancer activity of chemical compounds.

Gong-Hua Li1, Jing-Fei Huang.   

Abstract

Cancer is the leading cause of death worldwide. Screening anticancer candidates from tens of millions of chemical compounds is expensive and time-consuming. A rapid and user-friendly web server, known as CDRUG, is described here to predict the anticancer activity of chemical compounds. In CDRUG, a hybrid score was developed to measure the similarity of different compounds. The performance analysis shows that CDRUG has the area under curve of 0.878, indicating that CDRUG is effective to distinguish active and inactive compounds.

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Year:  2012        PMID: 23080119     DOI: 10.1093/bioinformatics/bts625

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  15 in total

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Journal:  Chem Cent J       Date:  2017-01-30       Impact factor: 4.215

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Review 3.  Addressing artifacts of colorimetric anticancer assays for plant-based drug development.

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4.  DPDR-CPI, a server that predicts Drug Positioning and Drug Repositioning via Chemical-Protein Interactome.

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Journal:  Sci Rep       Date:  2016-11-02       Impact factor: 4.379

5.  Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines.

Authors:  Harinder Singh; Rahul Kumar; Sandeep Singh; Kumardeep Chaudhary; Ankur Gautam; Gajendra P S Raghava
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6.  Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties.

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7.  DINIES: drug-target interaction network inference engine based on supervised analysis.

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Journal:  Nucleic Acids Res       Date:  2014-05-16       Impact factor: 16.971

8.  In silico identification of anti-cancer compounds and plants from traditional Chinese medicine database.

Authors:  Shao-Xing Dai; Wen-Xing Li; Fei-Fei Han; Yi-Cheng Guo; Jun-Juan Zheng; Jia-Qian Liu; Qian Wang; Yue-Dong Gao; Gong-Hua Li; Jing-Fei Huang
Journal:  Sci Rep       Date:  2016-05-05       Impact factor: 4.379

9.  Potential Compounds for Oral Cancer Treatment: Resveratrol, Nimbolide, Lovastatin, Bortezomib, Vorinostat, Berberine, Pterostilbene, Deguelin, Andrographolide, and Colchicine.

Authors:  Saurabh Bundela; Anjana Sharma; Prakash S Bisen
Journal:  PLoS One       Date:  2015-11-04       Impact factor: 3.240

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

Authors:  Alexey A Lagunin; Varvara I Dubovskaja; Anastasia V Rudik; Pavel V Pogodin; Dmitry S Druzhilovskiy; Tatyana A Gloriozova; Dmitry A Filimonov; Narahari G Sastry; Vladimir V Poroikov
Journal:  PLoS One       Date:  2018-01-25       Impact factor: 3.240

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