Method and system for automated inference creation of physico-chemical interaction knowledge from databases of co-occurrence data
US7356416B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jan 24, 2001 |
| Grant date | Apr 8, 2008 |
| Priority date | — |
| Expiry date | Jul 22, 2022 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99931
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and system for automated inference of physico-chemical interaction knowledge from databases of term co-occurrence data. The co-occurrence data includes co-occurrences between chemical or biological molecules or co-occurrences between chemical or biological molecules and biological processes. Likelihood statistics are determined and applied to decide if co-occurrence data reflecting physico-chemical interactions is non-trivial. A next node or an unknown target representing chemical or biological molecules in a biological pathway is selected based on co-occurrence values. The method and system may be used to further facilitate a user's understanding of biological functions, such as cell functions, to design experiments more intelligently and to analyze experimental results more thoroughly. Specifically, the present invention may help drug discovery scientists select better targets for pharmaceutical intervention in the hope of curing diseases. The method and system may also help facilitate the abstraction of knowledge from information for biological experimental data and provide new bioinformatic techniques.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.