3785-25-9Relevant academic research and scientific papers
CONDENSED RING PYRIDINE COMPOUNDS AS SUBTYPE-SELECTIVE MODULATORS OF SPHINGOSINE-1-PHOSPHATE-2 (S1P2) RECEPTORS
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Page/Page column 40-41, (2011/04/25)
The invention provides compounds represented by the formula I, each of which compounds may have sphingosine-1-phosphate receptor agonist and or antagonist biological activity, wherein these compounds selected from the group consisting of wherein A, B, C, D, X, Y, Z and R3 are defined in the specification. Said compounds are useful for treating a disease or condition of a mammal selected from the group consisting of ocular diseases; systemic vascular barrier related diseases; allergies and other inflammatory diseases; cardiac diseases or conditions; fibrosis; pain and wounds.
Synthesis, screening for antitubercular activity and 3D-QSAR studies of substituted N-phenyl-6-methyl-2-oxo-4-phenyl-1,2,3,4-tetrahydro-pyrimidine-5-carboxamides
Virsodia, Vijay,Pissurlenkar, Raghuvir R.S.,Manvar, Dinesh,Dholakia, Chintan,Adlakha, Priti,Shah, Anamik,Coutinho, Evans C.
, p. 2103 - 2115 (2008/12/23)
Multi-drug resistance to commonly used antitubercular drugs has propelled the development of new structural classes of antitubercular agents. This paper reports the synthesis, evaluation and 3D-QSAR analysis of a set of substituted N-phenyl-6-methyl-2-oxo-4-phenyl-1,2,3,4-tetrahydropyrimidine-5-carboxamides as antitubercular agents. Substituted acetoacetanilides were reacted with various aromatic aldehydes and urea which yielded the tetrahydropyrimidine derivatives with a phenyl carbamoyl group at C5 position, and with various substitutions on the 4-phenyl and the N-phenyl aromatic rings. All compounds were screened for antitubercular activity against Mycobacterium tuberculosis H37Rv strain. The QSAR models were generated on a training set of 23 molecules. The molecules were aligned using the atom-fit and field-fit techniques. The CoMFA and CoMSIA models generated on the molecules aligned by the atom-fit method show a correlation coefficient (r2) of 0.98 and 0.95 with cross-validated r2(q2) of 0.68 and 0.58, respectively. The 3D-QSAR models were externally validated against a test set of 7 molecules for which the predictive r2 (rpred2) is recorded as 0.41 and 0.32 for the CoMFA and CoMSIA models, respectively. The CoMFA and CoMSIA contours helped to design some new molecules with improved activity.
