4 HSGAGs present in extracellular matrix (ECM) and the basement membrane is degraded by heparanase enzyme. Expression of heparanase has been correlated to metastatic potentials of tumor cells and angiogesis.5, 6, 7 and 8 Heparanase

is thus considered as an attractive drug target, but development in this area has been hampered due to non-availability of small molecule inhibitors of heparanase. Sulfated oligosaccharide derivative PI-88 is the currently known inhibitor in phase II clinical trials. 2,3-dihydro-1,3-dioxo-1H-isoindole-5-carboxylic acid derivatives,9 Furanyl-1,3-thiazol-2-yl and benzoxazol-5-yl acetic acid derivatives10 have been reported as heparanase inhibitors by Stephen. M. Courtney et al Weital Pan et al have Galunisertib purchase developed symmetrical and unsymmetrical

ureas having benzoimidazol-2-yl phenyl group as heparanase inhibitors.11 Our efforts Fluorouracil in vivo to develop potent inhibitors for heparanase required the knowledge of structural requirement for inhibition. As the protein structure is not determined experimentally, we under took a process of ligand based approach. A 3D QSAR analysis using comparative molecular field analysis (CoMFA)12 and 13 and comparative molecular similarity indices analysis (CoMSIA)14 was carried out on 43 molecules reported in literature. Results of 3D QSAR helped us in design of molecules having better predictive activity. A total of 43 molecules were available with reported IC50 values for inhibition of heparanase,9, 10 and 11 these values were converted to corresponding pIC50 values (Table 1). The data set was divided into training set consisting of 33 molecules and test set of

10 molecules. All molecular modeling calculations were performed on a Linux operating system. Three dimensional structure building and all modeling were performed using the SYBYL X-1.2 molecular modeling program package.15 Gasteiger-Hückel16 charges were assigned and then energy minimization of each molecule was performed using the conjugate gradient method and Tripos FF standard force field with a distance-dependent dielectric function. The minimization was terminated when the energy gradient convergence criterion of 0.001 kcal mol−1 Å−1 was reached. Structural Sitaxentan alignment is the most sensitive and vital part since the interaction energies depend upon the positioning of molecules in 3D fixed lattice. In the present study the optimized structures were aligned on the template 42, which is the most active molecule among the given set. The resulting alignment is shown in Fig. 1. Standard Tripos force field was employed for the CoMFA and CoMSIA analysis. A 3D cubic lattice overlapping all entered molecules and extended by at least 4 Å in each direction with each lattice intersection of a regularly spaced grid of 2.0 Å was created.