Literature DB >> 19519748

Quantitative structure-property relationship (correlation analysis) of phosphonic acid-based chelates in design of MRI contrast agent.

Anjani K Tiwari1, Himanshu Ojha, Ankur Kaul, Anupama Dutta, Pooja Srivastava, Gauri Shukla, Rakesh Srivastava, Anil K Mishra.   

Abstract

Nuclear magnetic resonance imaging is a very useful tool in modern medical diagnostics, especially when gadolinium (III)-based contrast agents are administered to the patient with the aim of increasing the image contrast between normal and diseased tissues. With the use of soft modelling techniques such as quantitative structure-activity relationship/quantitative structure-property relationship after a suitable description of their molecular structure, we have studied a series of phosphonic acid for designing new MRI contrast agent. Quantitative structure-property relationship studies with multiple linear regression analysis were applied to find correlation between different calculated molecular descriptors of the phosphonic acid-based chelating agent and their stability constants. The final quantitative structure-property relationship mathematical models were found as--quantitative structure-property relationship Model for phosphonic acid series (Model 1)--log K(ML) = {5.00243(+/-0.7102)}- MR {0.0263(+/-0.540)}n = 12 l r l = 0.942 s = 0.183 F = 99.165 quantitative structure-property relationship Model for phosphonic acid series (Model 2)--log K(ML) = {5.06280(+/-0.3418)}- MR {0.0252(+/- .198)}n = 12 l r l = 0.956 s = 0.186 F = 99.256.

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Year:  2009        PMID: 19519748     DOI: 10.1111/j.1747-0285.2009.00826.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  3 in total

1.  X-ray Crystallography-Guided Design, Antitumor Efficacy, and QSAR Analysis of Metabolically Stable Cyclopenta-Pyrimidinyl Dihydroquinoxalinone as a Potent Tubulin Polymerization Inhibitor.

Authors:  Souvik Banerjee; Foyez Mahmud; Shanshan Deng; Lingling Ma; Mi-Kyung Yun; Sayo O Fakayode; Kinsie E Arnst; Lei Yang; Hao Chen; Zhongzhi Wu; Pradeep B Lukka; Keyur Parmar; Bernd Meibohm; Stephen W White; Yuxi Wang; Wei Li; Duane D Miller
Journal:  J Med Chem       Date:  2021-08-18       Impact factor: 8.039

2.  Molecular modelling guided design, synthesis and QSAR analysis of new small molecule non-lipid autotaxin inhibitors.

Authors:  Souvik Banerjee; Derek D Norman; Shanshan Deng; Sayo O Fakayode; Sue Chin Lee; Abby L Parrill; Wei Li; Duane D Miller; Gabor J Tigyi
Journal:  Bioorg Chem       Date:  2020-08-26       Impact factor: 5.275

3.  Pharmacokinetics and drug-likeness of antidiabetic flavonoids: Molecular docking and DFT study.

Authors:  Mamaru Bitew; Tegene Desalegn; Taye B Demissie; Anteneh Belayneh; Milkyas Endale; Rajalakshmanan Eswaramoorthy
Journal:  PLoS One       Date:  2021-12-10       Impact factor: 3.240

  3 in total

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