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 |
|---|
| 2004 | 0 | 1 | 1 |
| 2005 | 0 | 1 | 1 |
| 2006 | 2 | 2 | 4 |
| 2007 | 1 | 0 | 1 |
| 2009 | 0 | 1 | 1 |
| 2010 | 0 | 2 | 2 |
| 2011 | 0 | 3 | 3 |
| 2012 | 1 | 1 | 2 |
| 2016 | 0 | 3 | 3 |
| 2017 | 0 | 2 | 2 |
| 2019 | 0 | 1 | 1 |
| 2021 | 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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Discovery and characterization of bromodomain 2-specific inhibitors of BRDT. Proc Natl Acad Sci U S A. 2021 03 02; 118(9).
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Targeting mitochondria in cancer therapy could provide a basis for the selective anti-cancer activity. PLoS One. 2019; 14(3):e0205623.
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An RNA structure-mediated, posttranscriptional model of human a-1-antitrypsin expression. Proc Natl Acad Sci U S A. 2017 11 21; 114(47):E10244-E10253.
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Dissecting the Specificity of Adenosyl Sulfamate Inhibitors Targeting the Ubiquitin-Activating Enzyme. Structure. 2017 07 05; 25(7):1120-1129.e3.
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Comprehensive Modeling and Discovery of Mebendazole as a Novel TRAF2- and NCK-interacting Kinase Inhibitor. Sci Rep. 2016 09 21; 6:33534.
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Polypharmacology in Drug Development: A Minireview of Current Technologies. ChemMedChem. 2016 Jun 20; 11(12):1211-8.
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Structure-Activity Relationship Studies on Holy Basil (Ocimum sanctum L.) Based Flavonoid Orientin and its Analogue for Cytotoxic Activity in Liver Cancer Cell Line HepG2. Comb Chem High Throughput Screen. 2016; 19(8):656-666.
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Determinants of activity at human Toll-like receptors 7 and 8: quantitative structure-activity relationship (QSAR) of diverse heterocyclic scaffolds. J Med Chem. 2014 Oct 09; 57(19):7955-70.
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Accurate prediction of glucuronidation of structurally diverse phenolics by human UGT1A9 using combined experimental and in silico approaches. Pharm Res. 2012 Jun; 29(6):1544-61.
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Understanding substrate selectivity of human UDP-glucuronosyltransferases through QSAR modeling and analysis of homologous enzymes. Xenobiotica. 2012 Aug; 42(8):808-20.