Evans C. Coutinho

3D-QSAR in Drug Design - A Review

Quantitative structure-activity relationships (QSAR) have been applied for decades in the development of relationships between physicochemical properties of chemical substances and their biological activities to obtain a reliable statistical model for prediction of the activities of new chemical entities. The fundamental principle underlying the formalism is that the difference in structural properties is responsible for the variations in biological activities of the compounds. In the classical QSAR studies, affinities of ligands to their binding sites, inhibition constants, rate constants, and other biological end points, with atomic, group or molecular properties such as lipophilicity, polarizability, electronic and steric properties (Hansch analysis) or with certain structural features (Free-Wilson analysis) have been correlated. However such an approach has only a limited utility for designing a new molecule due to the lack of consideration of the 3D structure of the molecules. 3D-QSAR has emerged as a natural extension to the classical Hansch and Free-Wilson approaches, which exploits the three-dimensional properties of the ligands to predict their biological activities using robust chemometric techniques such as PLS, G/PLS, ANN etc. It has served as a valuable predictive tool in the design of pharmaceuticals and agrochemicals. Although the trial and error factor involved in the development of a new drug cannot be ignored completely, QSAR certainly decreases the number of compounds to be synthesized by facilitating the selection of the most promising candidates. Several success stories of QSAR have attracted the medicinal chemists to investigate the relationships of structural properties with biological activity. This review seeks to provide a birds eye view of the different 3D-QSAR approaches employed within the current drug discovery community to construct predictive structure-activity relationships and also discusses the limitations that are fundamental to these approaches, as well as those that might be overcome with the improved strategies. The components involved in building a useful 3D-QSAR model are discussed, including the validation techniques available for this purpose.

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.

Pharmacophore Modeling in Drug Discovery and Development: An Overview

Pharmacophore mapping is one of the major elements of drug design in the absence of structural data of the target receptor. The tool initially applied to discovery of lead molecules now extends to lead optimization. Pharmacophores can be used as queries for retrieving potential leads from structural databases (lead discovery), for designing molecules with specific desired attributes (lead optimization), and for assessing similarity and diversity of molecules using pharmacophore fingerprints. It can also be used to align molecules based on the 3D arrangement of chemical features or to develop predictive 3D QSAR models. This review begins with a brief historical overview of the pharmacophore evolution followed by a coverage of the developments in methodologies for pharmacophore identification over the period from inception of the pharmacophore concept to recent developments of the more sophisticated tools such as Catalyst, GASP, and DISCO. In addition, we present some very recent successes of the widely used pharmacophore generation methods in drug discovery.

Synthesis, anti-tubercular activity and 3D-QSAR study of coumarin-4-acetic acid benzylidene hydrazides

A set of 25 coumarin-4-acetic acid benzylidene hydrazides were synthesized and characterized by NMR, IR and mass spectroscopic techniques. The compounds were evaluated for their anti-tubercular activity against Mycobacterium tuberculosis H(37)Rv strain using the BACTEC 460 system to determine percentage inhibition. To understand the relationship between structure and activity, a 3D-QSAR analysis has been carried out by Comparative Molecular Field Analysis (CoMFA). Several statistically significant CoMFA models were generated. The CoMFA model generated with database alignment was the best in terms of overall statistics. The CoMFA contours provide a good insight into the structure activity relationships of the compounds reported herein.

Sulfobutyl Ether7 β-Cyclodextrin (SBE7 β-CD) Carbamazepine Complex: Preparation, Characterization, Molecular Modeling, and Evaluation of In Vivo Anti-epileptic Activity

The objective of the present investigation was to study the ability of sulfobutyl ether7-β-cyclodextrin to form an inclusion complex with carbamazepine, an anti-epileptic drug with poor water solubility. The formation of the complex was carried out using the industrially feasible spray-drying method. The inclusion complex and physical mixtures were characterized by various techniques such as differential scanning calorimetry (DSC), infrared (IR), nuclear magnetic resonance (NMR), X-ray diffraction (XRD), and molecular modeling. The DSC, IR, and NMR studies confirmed the formation of an inclusion complex between carbamazepine and sulfobutyl ether7 β-cyclodextrin whereas XRD studies indicated an amorphous nature of the inclusion complex. Molecular modeling studies disclosed different modes of interaction between carbamazepine and sulfobutyl ether7 β-cyclodextrin with good correlation with experimental observations. The inclusion complex exhibited significantly higher in vitro dissolution profile as compared with pure carbamazepine powder. The in vivo anti-epileptic activity of carbamazepine/sulfobutyl ether7 β-cyclodextrin complex was evaluated in pentylenetetrazole-induced convulsions model. The carbamazepine/sulfobutyl ether7 β-cyclodextrin complex showed significantly higher anti-epileptic activity (p <0.01) as compared with that of carbamazepine suspension on oral administration.

Synthesis, in vitro antitubercular activity and 3D-QSAR study of 1,4-dihydropyridines

In continuation of our research program on new antitubercular agents, this article is a report of the synthesis of 97 various symmetrical, unsymmetrical, and N-substituted 1,4-dihydropyridines. The synthesized molecules were tested for their activity against M. tuberculosisH37Rv strain with rifampin as the standard drug. The percentage inhibition was found in the range 3–93%. In an effort to understand the relationship between structure and activity, 3D-QSAR studies were also carried out on a subset that is representative of the molecules synthesized. For the generation of the QSAR models, a training set of 35 diverse molecules representing the synthesized molecules was utilized. The molecules were aligned using the atom-fit technique. 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 0.56 and 0.62, respectively. The 3D-QSAR models were externally validated against a test set of 19 molecules (aligned previously with the training set) for which the predictive

Screening for In Vitro Antimycobacterial Activity and Three-Dimensional Quantitative Structure–Activity Relationship (3D-QSAR) Study of 4-(arylamino)coumarin Derivatives

{r^{2} (r^{2}_{\rm pred})}

Conformation of a model peptide of the tandem repeat decapeptide in mussel adhesive protein by NMR and MD simulations.

is recorded as 0.74 and 0.69 for the CoMFA and CoMSIA models, respectively. The models were checked for chance correlation through y-scrambling. The QSAR models revealed the importance of the conformational flexibility of the substituents in antitubercular activity.