Quantitative Structure-Activity Relationship
"Quantitative Structure-Activity Relationship" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A quantitative prediction of the biological, ecotoxicological or pharmaceutical activity of a molecule. It is based upon structure and activity information gathered from a series of similar compounds.
| Descriptor ID |
D021281
|
| MeSH Number(s) |
G02.111.830.500 G07.690.773.997.500
|
| Concept/Terms |
Quantitative Structure-Activity Relationship- Quantitative Structure-Activity Relationship
- Quantitative Structure Activity Relationship
- Quantitative Structure-Activity Relationships
- Relationship, Quantitative Structure-Activity
- Relationships, Quantitative Structure-Activity
- Structure-Activity Relationship, Quantitative
- Structure-Activity Relationships, Quantitative
- Structure Activity Relationship, Quantitative
- QSAR
|
Below are MeSH descriptors whose meaning is more general than "Quantitative Structure-Activity Relationship".
Below are MeSH descriptors whose meaning is more specific than "Quantitative Structure-Activity Relationship".
This graph shows the total number of publications written about "Quantitative Structure-Activity Relationship" by people in this website by year, and whether "Quantitative Structure-Activity Relationship" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2001 | 0 | 1 | 1 |
| 2005 | 0 | 1 | 1 |
| 2006 | 0 | 1 | 1 |
| 2007 | 1 | 0 | 1 |
| 2009 | 2 | 0 | 2 |
| 2010 | 0 | 1 | 1 |
| 2011 | 1 | 2 | 3 |
| 2012 | 1 | 3 | 4 |
| 2019 | 0 | 1 | 1 |
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Below are the most recent publications written about "Quantitative Structure-Activity Relationship" by people in Profiles.
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Computational prediction and in vitro validation of VEGFR1 as a novel protein target for 2,3,7,8-tetrachlorodibenzo-p-dioxin. Sci Rep. 2019 05 02; 9(1):6810.
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QSAR models for oxidation of organic micropollutants in water based on ozone and hydroxyl radical rate constants and their chemical classification. Water Res. 2013 Mar 01; 47(3):1111-22.
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Appropriate drinking water treatment processes for organic micropollutants removal based on experimental and model studies - a multi-criteria analysis study. Sci Total Environ. 2013 Jan 01; 442:478-88.
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Predictive model development for adsorption of aromatic contaminants by multi-walled carbon nanotubes. Environ Sci Technol. 2013 Mar 05; 47(5):2295-303.
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QSAR models for the removal of organic micropollutants in four different river water matrices. Chemosphere. 2012 Apr; 87(2):144-50.
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Prediction and in vitro evaluation of selected protease inhibitor antiviral drugs as inhibitors of carboxylesterase 1: a potential source of drug-drug interactions. Pharm Res. 2012 Apr; 29(4):972-82.
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A quantitative structure-activity relationship (QSAR) study on glycan array data to determine the specificities of glycan-binding proteins. Glycobiology. 2012 Apr; 22(4):552-60.
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Flustramine inspired synthesis and biological evaluation of pyrroloindoline triazole amides as novel inhibitors of bacterial biofilms. Org Biomol Chem. 2011 Aug 07; 9(15):5476-81.
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Modeling equilibrium adsorption of organic micropollutants onto activated carbon. Water Res. 2010 May; 44(10):3077-86.
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Discovery of geranylgeranyltransferase-I inhibitors with novel scaffolds by the means of quantitative structure-activity relationship modeling, virtual screening, and experimental validation. J Med Chem. 2009 Jul 23; 52(14):4210-20.