Anti-HIV-Predictor specifications


Unique identifier OMICS_13587
Name Anti-HIV-Predictor
Interface Web user interface
Restrictions to use None
Input data Query compounds in SMILES format
Output data The most similar compound of the query compound, the structures, database links and anti-HIV activities (logEC50) of the matched similar compound, predicting information, predicting conclusion
Programming languages Python
Computer skills Basic
Stability No
Source code URL
Maintained No


  • Viruses
    • Human immunodeficiency virus 1
    • Human immunodeficiency virus 2


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Publication for Anti-HIV-Predictor

Anti-HIV-Predictor institution(s)
State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China; Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China; Institute of Health Sciences, Anhui University, Hefei, Anhui, China; Kunming Biological Diversity Regional Center of Instruments, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China; KIZ-SU Joint Laboratory of Animal Models and Drug Development, College of Pharmaceutical Sciences, Soochow University, Suzhou, China; Collaborative Innovation Center for Natural Products and Biological Drugs of Yunnan, Kunming, Yunnan, China; KIZ/CUHK Joint Research Center for Bio-resources and Human Disease Mechanisms, Kunming, China
Anti-HIV-Predictor funding source(s)
This work was supported by the National Basic Research Program of China (Grant No. 2013CB835100), the Key Scientific and Technological Program of China (2014ZX10005-002-006), the National Natural Science Foundation of China (Grant Nos. 31401142, 31401137, 31123005, 81471620, 81660612), the Instruments Function Deployment Foundation of CAS (2014gk01) and Yunnan Applicative and Basic Research Program (2014FB181; 2015FB182; P0120150150).

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