AI-driven Alternative Medicine: A Novel Approach to Drug Discovery and Repurposing
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866913414058606592 |
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| author | Bilokon, Oleksandr Bilokon, Nataliya Bilokon, Paul |
| author_facet | Bilokon, Oleksandr Bilokon, Nataliya Bilokon, Paul |
| contents | AIAltMed is a cutting-edge platform designed for drug discovery and repurposing. It utilizes Tanimoto similarity to identify structurally similar non-medicinal compounds to known medicinal ones. This preprint introduces AIAltMed, discusses the concept of `AI-driven alternative medicine,' evaluates Tanimoto similarity's advantages and limitations, and details the system's architecture. Furthermore, it explores the benefits of extending the system to include PubChem and outlines a corresponding implementation strategy. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_02126 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI-driven Alternative Medicine: A Novel Approach to Drug Discovery and Repurposing Bilokon, Oleksandr Bilokon, Nataliya Bilokon, Paul Biomolecules AIAltMed is a cutting-edge platform designed for drug discovery and repurposing. It utilizes Tanimoto similarity to identify structurally similar non-medicinal compounds to known medicinal ones. This preprint introduces AIAltMed, discusses the concept of `AI-driven alternative medicine,' evaluates Tanimoto similarity's advantages and limitations, and details the system's architecture. Furthermore, it explores the benefits of extending the system to include PubChem and outlines a corresponding implementation strategy. |
| title | AI-driven Alternative Medicine: A Novel Approach to Drug Discovery and Repurposing |
| topic | Biomolecules |
| url | https://arxiv.org/abs/2407.02126 |