Search bioRxivSearch

Biology subjects

Saxena, A. K.

Publications and source records attributed to Saxena, A. K..

2 recordsLinked to original sources

Synthesis, SAR and Docking Studies of Substituted Aryl phenylthiazolyl phenylcarboxamide as potential Protein Tyrosine Phosphatase 1B Inhibitors

Inspired by the potent PTP1B inhibitory activity reported in a novel series of substituted aryl thiazolyl phenylsulphonamides (I), sulfonyl moiety in the most active compound (I, R= OCH3, R1= CF3, 73.6% PTP1B inhibition) was replaced by benzoyl group (region B) to afford compound II which showed lesser activity (50.5% PTP1B inhibition). To optimize the activity, further structural modifications were done on compound II at region A, B and C to design and synthesize a series of 24 aryl phenylthiazolyl phenylcarboxamides for evaluation against PTP1B enzyme. Among these compounds six compounds showed good PTP1B inhibitory activity in the order of compound 38 > 30 > 29 > 37 > 22 > 19. The lowest energy conformer of compound 38 at PTP1B active site shows favorable binding similar to known PTP1B binders and explains its selectivity towards PTP1B. Compound 38 also showed promising antihyperglycemic, antidyslipidemic and insulin resistant reversal activities in vivo in STZ model and db/db mice model. Altogether, the compound 38 present an excellent candidate for future PTP1B targeted drug discovery.

pharmacology and toxicology

Triple layered QSAR Studies on Substituted 1,2,4-Trioxanes as potential antimalarial agents: Superiority of the Quantitative Pharmacophore-Based Alignment, Over Common Substructure based Alignment

The present study reports the utilization of three approaches viz Pharmacophore, CoMFA, CoMSIA and HQSAR studies to identify the essential structural requirements in 3D chemical space for the modulation of the antimalarial activity of substituted 1,2,4 trioxanes. The superiority of Quantitative pharmacophore based alignment (QuantitativePBA) over global minima energy conformer-based alignment (GMCBA) has been reported in CoMFA and CoMSIA studies. The developed models showed good statistical significance in internal validation (q2, group cross-validation and bootstrapping) and performed very well in predicting antimalarial activity of test set compounds. Structural features in terms of their steric, electrostatic, and hydrophobic interactions in 3D space have been found important for the antimalarial activity of substituted 1,2,4-trioxanes. Further, the HQSAR studies based on the same training and test set acted as an additional tool to find the sub-structural fingerprints of substituted 1,2,4 trioxanes for their antimalarial activity. Together, these studies may facilitate the design and discovery of new substituted 1,2,4-trioxane with potent antimalarial activity.

bioinformatics