Systems and methods for predicting cardiotoxicity of molecular parameters of a compound based on machine learning algorithms
US-2018172667-A1 · Jun 21, 2018 · US
US10679004B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10679004-B2 |
| Application number | US-201615237466-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 15, 2016 |
| Priority date | Aug 15, 2016 |
| Publication date | Jun 9, 2020 |
| Grant date | Jun 9, 2020 |
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According to one embodiment, a computer program product for performing chemical textual analysis comprises a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, and where the program instructions are executable by a processor to cause the processor to perform a method comprising identifying a textual document, utilizing the processor, determining chemical data within the textual document, utilizing the processor, performing an analysis of the chemical data to identify a chemical pathway, utilizing the processor, and calculating a probability score for the chemical pathway, utilizing the processor.
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What is claimed is: 1. A computer program product for performing chemical textual analysis, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising: identifying a textual document, utilizing the processor; determining chemical data within the textual document, utilizing the processor; performing an analysis of the chemical data to identify a chemical pathway, utilizing the processor; and calculating a probability score for the chemical pathway, utilizing the processor, including determining and weighting one or more characteristics of one or more chemical components found within the textual document, utilizing the processor. 2. The computer program product of claim 1 , wherein the textual document includes a research paper, a textbook, a blog post, and a web page. 3. The computer program product of claim 1 , wherein determining the chemical data within the textual document includes parsing the textual document and analyzing a plurality of components of the textual document, utilizing the processor. 4. The computer program product of claim 1 , wherein determining the chemical data within the textual document includes identifying and analyzing relationships between a plurality of terms within the textual document, utilizing the processor. 5. The computer program product of claim 1 , wherein the chemical data includes data identifying one or more of chemicals, compounds, and molecules. 6. The computer program product of claim 1 , wherein the chemical data includes one or more details of one or more chemical reactions. 7. The computer program product of claim 1 , wherein calculating the probability score further includes identifying one or more patterns within one or more chemical components found within the textual document, utilizing the processor. 8. The computer program product of claim 1 , wherein calculating the probability score further includes predicting, utilizing the processor, an outcome of a chemical reaction, utilizing the chemical data. 9. A system, comprising: a processor and logic integrated with and/or executable by the processor, the logic being configured to: identify a textual document; determine chemical data within the textual document; perform an analysis of the chemical data to identify a chemical pathway; and calculate a probability score for the chemical pathway, including determining and weighting one or more characteristics of one or more chemical components found within the textual document.
Mathematical or scientific formatting; Subscripts; Superscripts · CPC title
Machine learning, data mining or chemometrics · CPC title
Analysis or design of chemical reactions, syntheses or processes · CPC title
Programming languages; Computing architectures; Database systems; Data warehousing · CPC title
Recognition of textual entities · CPC title
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