Biomedical subjects
Publications and source records attributed to Ralph T Mosley.
A series of 2-phenylspiroindenes was prepared. The most active analogue (2) was found to be comparable in potency to raloxifene (1) as an estrogen receptor ligand.
Melanocortin receptor 4 (MC-4R) is involved in the regulation of energy balance and body weight, and recognizes alpha-, beta-, and gamma-melanocyte stimulating hormones (alpha-, beta-, gamma-MSH). In the search for compounds that regulate food intake and body weight, two synthetic lactam-derivative ligands of alpha-MSH were discovered, MTII and SHU9119. MTII is an agonist and reduces food intake in rats, whereas SHU9119 is an antagonist, and increases food intake and body weight in rats. MTII and SHU9119 are nonselective compounds to MC-4R. To enhance the potency and selectivity at the human MC-4R (hMC-4R), we recently synthesized analogs of SHU9119 (M. A. Bednarek, T. MacNeil, R. N. Kalyani, R. Tang, Van der L. H. T. Ploeg, and D. H. Weinberg, Journal of Medicinal Chemistry, 2001, Vol. 44, pp. 401-409), wherein compound 1 was the most selective for hMC-4R. Replacement of D-Nal by L-Nal in compound 1 made compound 2 weakly active. Comparison of the structures by NMR and molecular modeling of compounds 1 and 2 vs SHU9119 and MTII indicated that, even though they existed as an average of several conformations in solution, there were distinctions in their structures. The gamma-methylene protons of Arg in compound 1 were nonequivalent and shielded probably by the aromatic ring of Nal. The NHi-NHi+1 NOE cross peaks and the temperature coefficients of the amide protons around the "essential core" Nal/Phe7-Arg8-Trp9, required for high affinity and high selectivity at hMC-4R, were indicative of a possible turn structure for these compounds but with differences in their NOE strengths and temperature coefficient values. Molecular modeling of these compounds based on their NMR data showed that the essential core appeared as a "V" shape with two different orientations, one for compound 1 and some of the conformers of SHU9119 and MTII, and the other for compound 2 and some other conformers of SHU9119 and MTII. The remaining conformers of SHU9119 and MTII, which did not map to compound 1 or 2, suggested that they were outside of the hMC-4R binding envelop. These observations may lead to conjectures as to why compound 1 is highly active and selective toward hMC-4R.
17beta-Hydroxysteroid dehydrogenase type 3 (17beta-HSD-3) is a member of the short-chain dehydrogenase/reductase (SDR) family and is essential for the reductive conversion of inactive C(19)-steroid, androstenedione, to the biologically active androgen, testosterone, which plays a central role in the development of the male phenotype. Mutations that inactivate this enzyme give rise to a rare form of male pseudohermaphroditism, referred to as 17beta-HSD-3 deficiency. One such mutation is the replacement of arginine at position 80 with glutamine, compromising enzyme activity by increasing the cofactor binding constant 60-fold. In the absence of a 17beta-HSD-3 crystal structure, we have grafted its amino acid sequence for the NADPH binding site on the X-ray crystal structures of glutathione reductase (Protein Data Bank code 1gra) and 17beta-HSD type 1 (Protein Data Bank codes 1fdv and 1fdu) where we find the trunk of the arginine 80 side chain forms part of the hydrophobic pocket for the purine ring of adenosine while its guanidinium moiety interacts with the 2'-phosphate to both stabilize cofactor binding and neutralize its intrinsic negative charge through two hydrogen bonds. To qualitatively assess the role arginine 80 plays in both selecting and stabilizing NADPH binding, it was replaced with each amino acid and the mutant enzymes subjected to enzymatic analysis. There are only seven enzymes exhibiting any measurable enzymatic activity with arginine approximately lysine>leucine>glutamine>methionine>tyrosine>isoleucine. With an aspartic acid at position 58 in 17beta-HSD-3 occupying the equivalent space in the cofactor binding pocket as arginine 224 in glutathione reductase or serine 12 in 17beta-HSD-1, there was an expectation that some of the mutants might use NADH as a cofactor. In no case was NADH found to substitute for NADPH.
A 1X22X41 combinatorial library or 902 compounds of indinavir analogues was synthesized on the solid support to identify a replacement for the aminoindanol moiety at P2'. 2,6-Dimethyl-4-hydroxy phenol was discovered to be a good replacement for aminoindanol.
Synthetic and natural peptides that act as nonselective melanocortin receptor agonists have been found to be anorexigenic and to stimulate erectile activity. We report the design and development of 1, a potent, selective (1184-fold vs MC3R, 350-fold vs MC5R), small-molecule agonist of the MC4 receptor. Pharmacological testing confirms the food intake lowering effects of MC4R agonism and suggests another role for the receptor in the stimulation of erectile activity.
Apicidins are a class of cyclic tetrapeptides that do not contain the classical electrophilic alpha-keto epoxide yet are potent (nM) inhibitors of histone deacetylase and antiprotozoal agents. These compounds showed broad-spectrum activities against the apicomplexan family of protozoa including Plasmodium sp (malarial parasite), Toxoplasma gondii, Cryptosporidium sp., and Eimeria sp. These cyclic peptides contain a beta-turn amino acid (R)-Pip or (R)-Pro, (S)-N-methoxy Trp, (S)-Ile, or (S)-Val, and either (S)-2-amino-8-oxodecanoic acid or a modified (S)-2-amino-8-oxodecanoic acid. The isolation and structure elucidation of new apicidins from two Fusarium species, temperature-dependent NMR studies of apicidin, NMR and molecular modeling based conformation of the 12-membered macrocyclic ring, and selected chemical modifications of apicidin have been detailed in this paper. The cyclic nature of the peptide, the C-8 keto group, and the tryptophan are all critical for the biological activity.
Pastor and Cruciani [J. Med. Chem. 38 (1995) 4637] and Kastenholz et al. [J. Med. Chem. 43 (2000) 3033] pioneered methods for comparing related receptors, with the ultimate goal of designing selective ligands. Such methods start with a reasonable superposition of high-resolution three-dimensional (3D) structures of the receptors. Next, molecular field maps are calculated for each receptor. Then the maps are analyzed to determine which map features are correlated with a particular subset of receptors. We present a method FLOGTV, based on the trend vector paradigm [J. Chem. Inf. Comput. Sci. 25 (1985) 64] to perform the analysis. This is mathematically simpler than the GRID/CPCA method of Kastenholz et al. and allows for the simultaneous comparison of many receptor structures. Also, the trend vector paradigm provides a method of selecting isopotential contours that are well above "noise". We demonstrate the method on four examples: HIV proteases versus two-domain acid proteases, thrombin versus trypsin and factor Xa, bacterial dihydrofolate reductases (DHFRs) versus vertebrate DHFRs, and P38 versus ERK protein kinases.
Pastor and Cruciani [J. Med. Chem. 38 (1995) 4637] and Kastenholz et al. [J. Med. Chem. 43 (2000) 3033] pioneered methods for comparing related receptors, with the ultimate goal of designing selective ligands. Such methods start with a reasonable superposition of high-resolution three-dimensional (3D) structures of the receptors. Next, molecular field maps are calculated for each receptor. Then the maps are analyzed to determine which map features are correlated with a particular subset of receptors. We present a method FLOGTV, based on the trend vector paradigm [J. Chem. Inf. Comput. Sci. 25 (1985) 64] to perform the analysis. This is mathematically simpler than the GRID/CPCA method of Kastenholz et al. and allows for the simultaneous comparison of many receptor structures. Also, the trend vector paradigm provides a method of selecting isopotential contours that are well above "noise". We demonstrate the method on four examples: HIV proteases versus two-domain acid proteases, thrombin versus trypsin and factor Xa, bacterial dihydrofolate reductases (DHFRs) versus vertebrate DHFRs, and P38 versus ERK protein kinases.