Biomedical subjects

Prasanna Datar

Publications and source records attributed to Prasanna Datar.

2 recordsLinked to original sources

PubMed2004

Substance P: structure, function, and therapeutics.

Extensive efforts since 1931, on the structural determination of the mammalian tachykinin SP by NMR, CD and IR have turned out to be inconclusive. Studies are now being concentrated on the structural properties and characteristics of various NK receptors (NK(1), NK(2) and NK(3)) with the help of genetics, cloning, receptor engineering, mutagenesis and modeling. This knowledge is now being fruitfully used in the development of non-peptide NK(1) receptor antagonists that essentially block the pharmacological effects of SP. It is now being realized that the simultaneous blockade of two or more receptors gives promising results in emesis, depression and pulmonary obstructive diseases. In addition to the synthetic compounds, the discovery of antagonists from natural origin has added a great value to this field. In this review we have made an attempt to present the structural characteristics of SP, its analogs and antagonists, the structural characteristics of the NK receptor, and structure activity relationships that have helped to improve the therapeutic utilities of SP antagonists.

Amino Acid Sequence↗

PubMed2002

CoMFA and CoMSIA studies of angiotensin (AT1) receptor antagonists.

Two 3D-QSAR methods--CoMFA and CoMSIA--were applied to a set of 38 angiotensin receptor (AT1) antagonists. The conformation and alignment of molecules were obtained by a novel method - consensus dynamics. The representation of biological activity, partial charge formalism, absolute orientation of the molecules in the grid, and grid spacing were also studied for their effect on the CoMFA models. The models were thoroughly validated through trials using scrambled activities and bootstrapping. The best CoMFA model had a cross-validated correlation coefficient ( q2) of 0.632, which improved with "region focusing" to 0.680. This model had a "predictive" r2 of 0.436 on a test series that was unique and with little representation in the training set. Although the "predictive" r2 of the best CoMSIA model, which included steric, electrostatic, and hydrogen bond acceptor fields was higher than that of the best CoMFA model, the other statistical parameters like q2, r2, F value, and s were unsatisfactory. The contour maps generated using the best CoMFA model were used to identify the structural features important for biological activity in these compounds.

Angiotensin II Type 1 Receptor Blockers↗