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.
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click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2007 | 0 | 1 | 1 |
| 2010 | 0 | 1 | 1 |
| 2015 | 0 | 1 | 1 |
| 2017 | 0 | 2 | 2 |
| 2018 | 0 | 1 | 1 |
| 2020 | 0 | 1 | 1 |
| 2021 | 0 | 1 | 1 |
| 2022 | 1 | 0 | 1 |
| 2024 | 1 | 0 | 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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Computer-Aided Design and Biological Evaluation of Diazaspirocyclic D4R Antagonists. ACS Chem Neurosci. 2024 Jun 19; 15(12):2396-2407.
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3D-QSAR and scaffold hopping based designing of benzo[d]ox-azol-2(3H)-one and 2-oxazolo[4,5-b]pyridin-2(3H)-one derivatives as selective aldehyde dehydrogenase 1A1 inhibitors: Synthesis and biological evaluation. Arch Pharm (Weinheim). 2022 Sep; 355(9):e2200108.
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QSAR and deep learning model for virtual screening of potential inhibitors against Inosine 5' Monophosphate dehydrogenase (IMPDH) of Cryptosporidium parvum. J Mol Graph Model. 2022 03; 111:108108.
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Search for non-acidic ALR2 inhibitors: Evaluation of flavones as targeted agents for the management of diabetic complications. Bioorg Chem. 2020 03; 96:103570.
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Putative dual inhibitors of Janus kinase 1 and 3 (JAK1/3): Pharmacophore based hierarchical virtual screening. Comput Biol Chem. 2018 Oct; 76:109-117.
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Molecular dynamics and integrated pharmacophore-based identification of dual [Formula: see text] inhibitors. Mol Divers. 2018 Feb; 22(1):95-112.
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Novel EGFR (T790M)-cMET dual inhibitors: putative therapeutic agents for non-small-cell lung cancer. Future Med Chem. 2017 04; 9(5):469-483.
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Toxicophore exploration as a screening technology for drug design and discovery: techniques, scope and limitations. Arch Toxicol. 2016 Aug; 90(8):1785-802.
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An assay for RNA oxidation induced abasic sites using the Aldehyde Reactive Probe. Free Radic Res. 2011 Feb; 45(2):237-47.
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Resisting degradation by human elastase: commonality of design features shared by 'canonical' plant and bacterial macrocyclic protease inhibitor scaffolds. Bioorg Med Chem. 2007 Jul 01; 15(13):4618-28.