Synthesis and anticancer activity of focused compound libraries from the natural product lead,oroidin

Oroidin (1), (E)-N-(3-(2-amino-1H-imidazol-4-yl)allyl)-4,5-dibromo-1H-pyrrole-2-carboxamide, is a pyrrole alkaloid isolated from the marine sponge Agelas oroides. Routine screening in a panel of twelve cancer cell lines revealed 1 to be poorly cytotoxic with the 50% growth inhibition concentration (GI₅₀) of 42 μM in MCF-7 (breast) cells and 24 μM in A2780 (ovarian) cells and >50 μM in all other cell lines tested. The development of eight focused libraries comprising thirty compounds total identified N-(biphenyl-4-ylmethyl)-1H-pyrrole-2-carboxamide (4l), N-benzyl-4,5-dibromo-1H-pyrrole-2-carboxamide (5a) and N-(biphenyl-4-ylmethyl)-4,5-dibromo-1H-pyrrole-2-carboxamide (5l) as potent inhibitors of cell growth in our panel of cell lines. Of these compounds GI₅₀ values of <5 μM were observed with 4l against HT29 (colon) and SW480 (colon); 5a against HT29; and 5l against HT29, SW480, MCF-7, A431 (skin), Du145 (prostate), BE2-C (neuroblastoma) and MIA (pancreas) cell lines. As a cancer class, colon cancer appears to be more sensitive to the oroidin series of compounds, with analogue 5l being the most active.     

Lead compound design for TPR/COX dual inhibition

The modes of action of TxA2 antagonists and COX-2 inhibitors were studied utilizing flexible ligand docking with postdocking minimization and ab initio interaction energy calculations. The resulting increased understanding of their binding interactions led to the design of a lead compound with chemical moieties that allowed efficient binding to both the thromboxane receptor and the COX-2 enzyme. This compound is derived from allicin, a natural component of garlic, and is a good starting point for the development of anti-inflammatory drugs with fewer side effects or improved cardiovascular drugs.     

Identification of potent ITK inhibitors through focused compound library design including structural information

A series of novel compound libraries inhibiting interleukin-2 inducible T cell kinase (ITK) were designed, synthesized and evaluated. In the first design cycle two library scaffolds were identified showing low micromolar inhibition of ITK. Further iterative design cycles including crystal structure information of ITK and structurally related kinases led to the identification of indolylindazole and indolylpyrazolopyridine compounds with low nanomolar ITK inhibition.     

Synthesis of natural-product-based compound libraries

Natural products cover a diversity space not yet available from synthetic libraries, with an unrivalled success rate as drug leads. The combinatorial synthesis of non-oligomeric natural-product-based libraries, however, is still limited to few examples because access to easily modified units strongly depends on the availability of a core structure either from a natural source, or through a suitable synthetic route. Only a few resourceful groups have managed the latter approach for more demanding multifunctional natural drug leads, such as epothilones.     

Computational design strategies for combinatorial libraries

Medicinal chemistry principles are being increasingly applied to the design of smaller, high purity, information-rich libraries. Recent computational advances in statistical methodology, the design of libraries to reduce ADMET problems, targeting protein families and revisiting natural products as sources of inspiration for scaffolds and reagents are all areas of progressive research.     

Examining the significance of fingerprint-based classifiers

Background  

Experimental examinations of biofluids to measure concentrations of proteins or their fragments or metabolites are being explored as a means of early disease detection, distinguishing diseases with similar symptoms, and drug treatment efficacy. Many studies have produced classifiers with a high sensitivity and specificity, and it has been argued that accurate results necessarily imply some underlying biology-based features in the classifier. The simplest test of this conjecture is to examine datasets designed to contain no information with classifiers used in many published studies.     

Investigation of 3 industry-wide applied storage conditions for compound libraries

The appropriate storage conditions for a compound file are a crucial factor for the success of drug discovery projects. In this study, 778 highly diverse compounds dissolved in 100% DMSO were stored under 3 industry-wide accepted storage conditions, and the compound integrity was monitored for a period of 6 months. The storage conditions selected were (1) under argon at +15 degrees C, (2) under argon at -20 degrees C, and (3) under ambient atmosphere at -20 degrees C. Each sample was assessed every 4 weeks by liquid chromatography coupled to mass spectrometry (LC/MS). Based on the resulting experimental data, a statistical projection of compound integrity over a period of 4 years for each of the 3 storage conditions was generated applying a linear mixed-effects model. A moderate loss of compound integrity of 12% was calculated for storage at -20 degrees C under argon, a loss of 21% for storage at -20 degrees C under ambient atmosphere, and a strong decrease of 58% for storage at +15 degrees C under argon over this period. The initial purity of the compounds does also influence the rate of compound degradation. Compounds with an initial purity of 50% to 75% degraded faster than compounds with an initial purity of more than 75%. The results of the study enable the prediction of the point in time, when the purity of a compound population falls below a predefined threshold that would trigger the resolubilization or retirement of the compound population represented by the analyzed samples.     

Optimizing search conditions for the mass fingerprint-based identification of proteins

The two central problems in protein identification by searching a protein sequence collection with MS data are the optimal use of experimental information to allow for identification of low abundance proteins and the accurate assignment of the probability that a result is false. For comprehensive MS-based protein identification, it is necessary to choose an appropriate algorithm and optimal search conditions. We report a systematic study of the quality of PMF-based protein identifications under different sequence collection search conditions using the Probability algorithm, which assigns the statistical significance to each result. We employed 2244 PMFs from 2-DE-separated human blood plasma proteins, and performed identification under various search constraints: mass accuracy (0.01-0.3 Da), maximum number of missed cleavage sites (0-2), and size of the sequence collection searched (5.6 x 10(4)-1.8 x 10(5)). By counting the number of significant results (significance levels 0.05, 0.01, and 0.001) for each condition, we demonstrate the search condition impact on the successful outcome of proteome analysis experiments. A mass correction procedure utilizing mass deviations of albumin matching peptides was tested in an attempt to improve the statistical significance of identifications and iterative searching was employed for identification of multiple proteins from each PMF.     

Cyclopropyl and related analogs of the anti-HIV compound,isodideoxyadenosine

Novel 3'-substituted isonucleoside analogs were designed on the basis of the similarities of their electrostatic potential with the active anti-HIV compound, (S,S)-isodideoxy-adenosine. The key synthetic step involved coupling between the dideoxygenated sugar derivatives, 10 and 14, and adenine under Mitsunobu conditions. Anti-HIV data are mentioned.     

4-Aminothiazolyl analogs of GE2270 A: design, synthesis and evaluation of imidazole analogs

Imidazole analogs of the antibiotic natural product GE2270 A (1) were designed, synthesized, and evaluated for Gram positive bacteria growth inhibition. A recently reported, copper-mediated synthesis was exploited to prepare 4-thiazolyl imidazole analogs of 1. The synthesis described represents a structurally complex, natural product-based application of this recently reported synthetic methodology. In addition, the biological evaluation of the imidazole-based analogs further define the SAR of the 4-aminothiazolyl-based antibacterial template.     

A focused compound library of novel N-(7-indolyl)benzenesulfonamides for the discovery of potent cell cycle inhibitors

A series of compounds containing an N-(7-indolyl)benzenesulfonamide pharmacophore was synthesized and evaluated as a potential antitumor agent. Cell cycle analysis with P388 murine leukemia cells revealed that there were two different classes of potent cell cycle inhibitors; one disrupted mitosis and the other caused G1 accumulation. Herein described is the SAR summary of the substituent patterns on this pharmacophore template.     

An adaptive dual control framework for QoS design

The widespread deployment of the advanced computer technology in business and industries has demanded the high standard on quality of service (QoS). For example, many Internet applications, i.e. online trading, e-commerce, and real-time databases, etc., execute in an unpredictable general-purpose environment but require performance guarantees. Failure to meet performance specifications may result in losing business or liability violations. As systems become distributed and complex, it has become a challenge for QoS design. The ability of on-line identification and auto-tuning of adaptive control systems has made the adaptive control theoretical design an attractive approach for QoS design. However, there is an inherent constraint in adaptive control systems, i.e. a conflict between asymptotically good control and asymptotically good on-line identification. This paper first identifies and analyzes the limitations of adaptive control for network QoS by extensive simulation studies. Secondly, as an approach to mitigate the limitations, we propose an adaptive dual control framework. By incorporating the existing uncertainty of on-line prediction into the control strategy and accelerating the parameter estimation process, the adaptive dual control framework optimizes the tradeoff between the control goal and the uncertainty, and demonstrates robust and cautious behavior. The experimental study shows that the adaptive dual control framework mitigate the limitations of the conventional adaptive control framework. Compared with the conventional adaptive control framework under the medium uncertainty, the adaptive dual control framework reduces the deviation from the desired hit-rate ratio from 40% to 13%.

Synthesis and evaluation of carbon-linked analogs of dual orexin receptor antagonist filorexant

Analogs of the dual orexin receptor antagonist filorexant were prepared. Replacement of the ether linkage proved highly sensitive toward modification with an acetylene linkage providing compounds with the best in vitro and in vivo potency profiles.     

An RNA foldability metric; implications for the design of rapidly foldable RNA sequences

Evidence is presented suggesting, for the first time, that the protein foldability metric σ = (T_θ − T_f) / T_θ, where T_θ and T_f are, respectively, the collapse and folding transition temperatures, could be used also to measure the foldability of RNA sequences. These results provide further evidence of similarities between the folding energy landscapes of proteins and RNA. The importance of σ is discussed in the context of the in silico design of rapidly foldable RNA sequences.     

Construction of "small-intelligent" focused mutagenesis libraries using well-designed combinatorial degenerate primers

Site-saturation mutagenesis is a powerful tool for protein optimization due to its efficiency and simplicity. A degenerate codon NNN or NNS (K) is often used to encode the 20 standard amino acids, but this will produce redundant codons and cause uneven distribution of amino acids in the constructed library. Here we present a novel "small-intelligent" strategy to construct mutagenesis libraries that have a minimal gene library size without inherent amino acid biases, stop codons, or rare codons of Escherichia coli by coupling well-designed combinatorial degenerate primers with suitable PCR-based mutagenesis methods. The designed primer mixture contains exactly one codon per amino acid and thus allows the construction of small-intelligent mutagenesis libraries with one gene per protein. In addition, the software tool DC-Analyzer was developed to assist in primer design according to the user-defined randomization scheme for library construction. This small-intelligent strategy was successfully applied to the randomization of halohydrin dehalogenases with one or two randomized sites. With the help of DC-Analyzer, the strategy was proven to be as simple as NNS randomization and could serve as a general tool to efficiently randomize target genes at positions of interest.