Azorange | Tool name | Azorange |
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| URL | https://github.com/azorange/azorange |
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| Important features | Specializes in building and validating QSAR (Quantitative Structure-Activity Relationship) models to predict the bioactivity, toxicity, or absorption properties of new chemical compounds. |
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| Citations | N/A |
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| Year of publication | 2023 |
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| Rank by usage frequency | 99 |
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| Comments | High chemical/cheminformatic specificity; completely agnostic toward specific biological organisms. |
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| Function | https://github.com/azorange/azorange, Specializes in building and validating QSAR (Quantitative Structure-Activity Relationship) models to predict the bioactivity, toxicity, or absorption properties of new chemical compounds., N/A, 2023, 99, High chemical/cheminformatic specificity; completely agnostic toward specific biological organisms., General, Software/Tool, Tuberculosis, Bacterial, Bacteria, Viruses, Fungi, Humans, or any other organism, Functional, Offline, Yes, Yes, Naidu, A., Nayak, S. S., Lulu S, S., & Sundararajan, V. (2023). Advances in computational frameworks in the fight against TB: The way forward. Frontiers in pharmacology, 14, 1152915. https://doi.org/10.3389/fphar.2023.1152915, PMID: 37077815 , PMCID: PMC10106641, Tuberculosis, Offline, 2 |
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