Compound function prediction method based on neural network and connectivity map algorithm
US12176074B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Apr 25, 2021 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Apr 25, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a compound function prediction method based on a neural network and a connectivity map (CMAP) algorithm. The compound function prediction method is used to predict an efficacy of a compound, and the compound function prediction method includes the following steps: constructing a compound molecule-encoding vector neural network; constructing and training an encoding vector-marker gene expression variation deep neural network; constructing and training a marker gene expression level or gene expression variation-whole genome gene expression level or gene expression variation neural network; constructing upregulated and downregulated gene sets of a disease or a phenotype; and evaluating a correlation between the compound and the disease or the phenotype.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.