Discovery of potent cyclic GMP phosphodiesterase inhibitors. 2-Pyridyl- and 2-imidazolylquinazolines possessing cyclic GMP phosphodiesterase and thromboxane synthesis inhibitory activities.

Moderate cyclic GMP phosphodiesterase (cGMP-PDE, PDE V) inhibitor 2-phenyl-4-anilino-quinazoline (1) was identified utilizing MultiCASE assisted drug design (MCADD) technology. Modification of compound 1 was conducted at the 2-, 4-, and 6-positions of the quinazoline ring for enhancement of cGMP-PDE inhibitory activity. The 6-substituted 2-(imidazol-1-yl)-quinazolines are 1000 times more potent in in vitro PDE V enzyme than the well-known inhibitor zaprinast. The 6-substituted derivatives of 2-(3-pyridyl)quinazoline 84 and 2-(imidazol-1-yl)quinazoline 86 exhibited more than 1000-fold selectivity for PDE V over the other four PDE isozymes. In addition, cGMP-PDE inhibitors 64, 65, and 73 were found to have an additional property of thromboxane synthesis inhibitory activity.

Antiarthritic profile of BF-389--a novel anti-inflammatory agent with low ulcerogenic liability.

BF-389, dihydro-4-(3,5-di-tert-butyl-4-hydroxybenzylidene)-2-methyl-2H-1,2- oxazin-3(4H)-one, is a potent, orally active, antiarthritic and analgesic agent with low ulcerogenic potential. A comparison of the activity profiles of BF-389 and naproxen showed similarities in: (1) suppression of developing and chronic adjuvant arthritis (AA); (2) maximal inhibitory response, as shown by the E(max) values in the developing and established AA models; (3) inhibition of bone degenerative changes associated with chronic adjuvant arthritis; and (4) analgesic activity in the acetic acid and phenylquinone writhing assays. Though BF-389 has been shown to be a potent inhibitor of cyclooxygenase, IC50 = 0.84 +/- 0.25 microM against the production of PGE2 in vitro, there is a great difference from most cyclooxygenase inhibitors; it also inhibits the 5-lipoxygenase enzyme. For BF-389, the IC50 for in vitro LTB4 formation was found to be 3.65 +/- 1.19 microM. The ulcerogenic potential of BF-389 was compared to that of naproxen using a five-day in vivo ulcerogenic rat assay. The UD50 for naproxen was found to be approximately 30 mg/kg/day, p.o. Based upon efficacy in the DEV AA and EST AA models, UD50/ED50 values for naproxen were estimated to be 0.7 and 1.9, respectively. For BF-389 the UD50 was shown to be 520 (389-695) mg/kg/day, p.o., and the corresponding UD50/ED50 values were calculated to be 84 and 28, respectively, thus demonstrating the wide margin of safety between efficacy and ulcerogenicity in rats.

Computer-automated structure evaluation (CASE) of retinoids in teratogenesis bioassays.

The potential usefulness of the retinoids, a large group of synthetic compounds chemically and structurally related to vitamin A, in the treatment of severe dermatologic diseases and in the prophylaxis and therapy against cancer is severely limited because of their potential teratogenicity. CASE analysis of published retinoid data from the hamster teratogenicity assay and the limb bud "spot" culture system has targeted the hydrophobic region of the retinoids as having the greatest effect on the range of potencies studied. In addition, log p's (as calculated by the CASE program) below a certain value appear to unilaterally result in nonteratogenic retinoids in the in vivo hamster assay system.

The structural basis of the mutagenicity of chemicals in Salmonella typhimurium: the Gene-Tox data base.

The CASE structure-activity methodology has been applied to a Gene-Tox derived Salmonella mutagenicity data base consisting of 808 chemicals. Based upon qualitative structural features, CASE identified 29 activating and 3 inactivating structural determinants which correctly predicted the probability of carcinogenicity of 93.7% of the known mutagens and non-mutagens in the data base (sensitivity = 0.998, and specificity = 0.704). Additionally, based upon a qualitative structure-activity analysis, CASE's performance was even better, leading to a sensitivity of 0.981 and a specificity of 1.000. Using the structural determinants identified in this data base, CASE gave excellent predictions of the mutagenicity of chemicals not included in the data base. The identified biophores and biophobes can also be used to investigate the structural basis of the mutagenicity of various chemical classes.

Computer-automated prediction of the mutagenicity of benzidine, 4,4"-diaminoterphenyl, 4-dimethylaminoazobenzene and 4-cyanodimethylaniline: comparison with the results of the Second UKEMS Collaborative Study.

There was agreement between the experimental results, obtained in the course of the Second UKEMS Collaborative Study, for the mutagenicity in Salmonella typhimurium of benzidine, 4,4"-diaminoterphenyl, 4-dimethylaminoazobenzene and 4-cyanodimethylaniline and the mutagenicity predicted by CASE (Computer Automated Structure Evaluation), a recently developed artificial intelligence system.

Structure-activity relationships (SARs) among mutagens and carcinogens: a review.

This review is an introduction to methods for evaluating structure-activity relationships (SARs), and, in particular, to those methods that have been applied to study mutagenicity and carcinogenicity. A brief history and some background material on the earliest attempts to correlate molecular structure and biological activity are included. Most of the discussion focuses on modern methods utilizing extrathermodynamic and physical property variables such as the Hansch method and SIMCA, and approaches based on molecular connectivity such as the ADAPT, CASE, and Enslein methods. In general, the latter class is potentially the most useful in the study of the large and structurally diverse databases so often encountered in the study of mutagenicity and carcinogenicity. They also are not very sensitive to lab-to-lab variances in reported activities and outright misclassifications in activities of some compounds. This is chiefly because the statistical treatments used in these methods tend to dilute the importance of outliers. The methods using physicochemical and extrathermodynamic variables are especially important in relatively small, congeneric databases and can help fine-tune the role of physicochemical properties in mechanistic hypotheses. All of the above methods have been used to look at mutagenicity and carcinogenicity and some of the results reported in the literature are reviewed here. As far as specific methods go, ADAPT, CASE, SIMCA and the Enslein approach all seem to have similar classification powers (in the range of 75-95%), depending very much on the database studied. The emphasis in this review is on showing that the use of these computer-aided storage, retrieval and analysis techniques is a timely approach to predicting and even understanding the toxicity of environmental substances. However, each of the methods discussed is still under development, and their potential usefulness for predictive purposes is still being explored.

Computer analysis of toxicological data bases: mutagenicity of aromatic amines in Salmonella tester strains.

There is an increasing problem in the world of toxicological evaluation in that, while test results of new compounds are appearing regularly, traditional methods of analysis of such data are cumbersome and slow. The new computer program CASE (computer automated structure evaluator) was designed to handle just such problems. It analyzes molecules and their associated biological activity on the basis of structural fragments found and identified by the program as being important for the activity based on statistical tests of significance. The program was used to examine mutagenicity in Salmonella typhimurium strains TA98 and TA100 (with S9 activation) of approximately 80-100 aromatic amines. The resulting structural features were then used in a predictive fashion to test the expected mutagenic properties of a smaller set of about 20 compounds.