 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
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| MeSH Number(s) |
G02.111.830.500 G07.690.773.997.500
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| 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
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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 |
|---|
| 2002 | 0 | 1 | 1 | | 2004 | 1 | 0 | 1 | | 2005 | 2 | 0 | 2 | | 2008 | 1 | 0 | 1 | | 2011 | 0 | 2 | 2 | | 2012 | 0 | 2 | 2 | | 2015 | 2 | 0 | 2 | | 2024 | 1 | 0 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Quantitative Structure-Activity Relationship" by people in Profiles.
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Singh AV, Shelar A, Rai M, Laux P, Thakur M, Dosnkyi I, Santomauro G, Singh AK, Luch A, Patil R, Bill J. Harmonization Risks and Rewards: Nano-QSAR for Agricultural Nanomaterials. J Agric Food Chem. 2024 Feb 14; 72(6):2835-2852.
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Xiong W, Matheson CJ, Xu M, Backos DS, Mills TS, Salian-Mehta S, Kiseljak-Vassiliades K, Reigan P, Wierman ME. Structure-Based Screen Identification of a Mammalian Ste20-like Kinase 4 (MST4) Inhibitor with Therapeutic Potential for Pituitary Tumors. Mol Cancer Ther. 2016 Mar; 15(3):412-20.
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Liao Z, Gu L, Vergalli J, Mariani SA, De Dominici M, Lokareddy RK, Dagvadorj A, Purushottamachar P, McCue PA, Trabulsi E, Lallas CD, Gupta S, Ellsworth E, Blackmon S, Ertel A, Fortina P, Leiby B, Xia G, Rui H, Hoang DT, Gomella LG, Cingolani G, Njar V, Pattabiraman N, Calabretta B, Nevalainen MT. Structure-Based Screen Identifies a Potent Small Molecule Inhibitor of Stat5a/b with Therapeutic Potential for Prostate Cancer and Chronic Myeloid Leukemia. Mol Cancer Ther. 2015 Aug; 14(8):1777-93.
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McCoull W, Addie MS, Birch AM, Birtles S, Buckett LK, Butlin RJ, Bowker SS, Boyd S, Chapman S, Davies RD, Donald CS, Green CP, Jenner C, Kemmitt PD, Leach AG, Moody GC, Gutierrez PM, Newcombe NJ, Nowak T, Packer MJ, Plowright AT, Revill J, Schofield P, Sheldon C, Stokes S, Turnbull AV, Wang SJ, Whalley DP, Wood JM. Identification, optimisation and in vivo evaluation of oxadiazole DGAT-1 inhibitors for the treatment of obesity and diabetes. Bioorg Med Chem Lett. 2012 Jun 15; 22(12):3873-8.
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Valdameri G, Gauthier C, Terreux R, Kachadourian R, Day BJ, Winnischofer SM, Rocha ME, Frachet V, Ronot X, Di Pietro A, Boumendjel A. Investigation of chalcones as selective inhibitors of the breast cancer resistance protein: critical role of methoxylation in both inhibition potency and cytotoxicity. J Med Chem. 2012 Apr 12; 55(7):3193-200.
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Rasulev B, Turabekova M, Gorska M, Kulig K, Bielejewska A, Lipkowski J, Leszczynski J. Use of quantitative structure-enantioselective retention relationship for the liquid chromatography chiral separation prediction of the series of pyrrolidin-2-one compounds. Chirality. 2012 Jan; 24(1):72-7.
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Morrill JA, Biggs JH, Bowman CN, Stansbury JW. Development of quantitative structure-activity relationships for explanatory modeling of fast reacting (meth)acrylate monomers bearing novel functionality. J Mol Graph Model. 2011 Feb; 29(5):763-72.
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Nolan KA, Doncaster JR, Dunstan MS, Scott KA, Frenkel AD, Siegel D, Ross D, Barnes J, Levy C, Leys D, Whitehead RC, Stratford IJ, Bryce RA. Synthesis and biological evaluation of coumarin-based inhibitors of NAD(P)H: quinone oxidoreductase-1 (NQO1). J Med Chem. 2009 Nov 26; 52(22):7142-56.
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Moss N, Choi Y, Cogan D, Flegg A, Kahrs A, Loke P, Meyn O, Nagaraja R, Napier S, Parker A, Thomas Peterson J, Ramsden P, Sarko C, Skow D, Tomlinson J, Tye H, Whitaker M. A new class of 5-HT2B antagonists possesses favorable potency, selectivity, and rat pharmacokinetic properties. Bioorg Med Chem Lett. 2009 Apr 15; 19(8):2206-10.
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Durairaj C, Shah JC, Senapati S, Kompella UB. Prediction of vitreal half-life based on drug physicochemical properties: quantitative structure-pharmacokinetic relationships (QSPKR). Pharm Res. 2009 May; 26(5):1236-60.
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