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At least 91 records · Page 5Linked to original sources

A novel approach for the development of selective Cdk4 inhibitors: library design based on locations of Cdk4 specific amino acid residues.

Identification of a selective inhibitor for a particular protein kinase without inhibition of other kinases is critical for use as a biological tool or drug. However, this is very difficult because there are hundreds of homologous kinases and their kinase domains including the ATP binding pocket have a common folding pattern. To address this issue, we applied the following structure-based approach for designing selective Cdk4 inhibitors: (1) identification of specifically altered amino acid residues around the ATP binding pocket in Cdk4 by comparison of 390 representative kinases, (2) prediction of appropriate positions to introduce substituents in lead compounds based on the locations of the altered amino acid residues and the binding modes of lead compounds, and (3) library design to interact with the altered amino acid residues supported by de novo design programs. Accordingly, Asp99, Thr102, and Gln98 of Cdk4, which are located in the p16 binding region, were selected as first target residues for specific interactions with Cdk4. Subsequently, the 5-position of the pyrazole ring in the pyrazol-3-ylurea class of lead compound (2a) was predicted to be a suitable position to introduce substituents. We then designed a chemical library of pyrazol-3-ylurea substituted with alkylaminomethyl groups based on the output structures of de novo design programs. Thus we identified a highly selective and potent Cdk4 inhibitor, 15b, substituted with a 5-chloroindan-2-ylaminomethyl group. Compound 15b showed higher selectivity on Cdk4 over those on not only Cdk1/2 (780-fold/190-fold) but also many other kinases (>430-fold) that have been tested thus far. The structural basis for Cdk4 selective inhibition by 15b was analyzed by combining molecular modeling and the X-ray analysis of the Cdk4 mimic Cdk2-inhibitor complex. The results suggest that the hydrogen bond with the carboxyl group of Asp99 and hydrophobic van der Waals contact with the side chains of Thr102 and Gln98 are important. Compound 15b was found to cause cell cycle arrest of the Rb(+) cancer cell line in the G(1) phase, indicating that it is a good biological tool.

Adenosine Triphosphate↗

Diagnostic tools and biologic markers: animal models in the study of osteoporosis and oral bone loss.

Recent data have suggested that there may be a relationship between osteoporosis and oral bone loss. Both diseases are major public health problems of enormous magnitude, but their relationship is poorly understood. This is due to their complex pathogenesis and the fact that coexisting periodontal disease, loss of the dentition, site-specific variability in anatomy and bone density, as well as aging and many other factors complicate the development and progression of bone loss relative to each. The focus of this article is to review the characteristics of animals that are suited for studies of the relationship of osteoporosis and oral bone loss to better understand their relationship.

Aging↗

Defective vaccinia virus as a biologically safe tool for the overproduction of recombinant human secretory proteins.

We have described recently the construction of a defective vaccinia virus (VV) lacking the essential D4R open reading frame and have shown furthermore the selection of a complementing cell line providing the essential D4R gene product. The D4R gene belongs to the group of early transcribed vaccinia genes preventing a virus defective in D4R from entering into the intermediate and late phase of replication under noncomplementing conditions. Here we show that this property, which is unique among the group of so called nonreplicating poxviruses, is helpful for the production of (secretable) recombinant human proteins. Recombinant VV based on a D4R-defective parental strain expressing cDNAs coding for the human blood coagulation factors VII and XI produced significantly more recombinant protein than the corresponding recombinants based on wild-type VV. Moreover, the complementing cell line RK-D4R-44.20 was a more effective production cell system for both vD4 and wild-type VV recombinants compared to wild-type RK-13 cells. Surprisingly, recombinant human factor VII was more efficiently produced with the defective vaccinia recombinant even under noncomplementing conditions, suggesting that persistence of the early phase of vaccinia replication in combination with a delayed host shutoff is advantageous for the overproduction of certain recombinant proteins using the VV expression system.

Animals↗

Pharmacokinetic modeling as a tool for biological monitoring.

The relationships between biological indicators and exposure or tissue burdens are determined by the pharmacokinetic behaviour of the chemical. They can be studied by pharmacokinetic models of various types. Simple pharmacokinetic models are used here to describe general relationships valid for large groups of chemicals or situations. Important parameters to consider are the half-life of the biological indicator, the individual variability and the exposure variability. Biological sampling strategies are presented for monitoring of groups of workers, or individual workers. For specific chemicals, mainly solvents, more elaborate models can be developed, i.e., physiologically-based pharmacokinetic models including physiological, metabolic and physicochemical parameters. Such models are useful to describe the influence of confounding factors. Physiologically-based pharmacokinetic models can also be developed for metals and metalloids. Antimony is presented here as an example. In conclusion, pharmacokinetic modeling brings much information on sampling time, sample size, limit values, effect of physical workload and of individual physiological parameters.

Antimony↗

Comparative evaluation of blood and urine analysis as a tool for biological monitoring of n-hexane and toluene.

Blood and urine samples were collected from 57 male Japanese solvent workers [exposed to n-hexane (Hex-A), ethyl acetate, and toluene (Tol-A) at 1.5, 2.3, and 2.3 ppm as GM-TWA, respectively] and also from 20 male nonexposed workers at the end of a 8-h shift, and analyzed for n-hexane (Hex-B) and toluene (Tol-B) in blood, and n-hexane (Hex-U), toluene (Tol-U), 2,5-hexanedione [both with (HD-U/cHYD) and without hydrolysis (HD-U/sHYD)] and hippuric acid (HA-U) in urine. Regression analysis showed that both Hex-B and Tol-B correlated significantly with corresponding exposure to the solvents. Solvents in urine (Hex-U and Tol-U) also correlated with solvents in air but with smaller correlation coefficients than the solvents in blood. Both HD-U/cHYD and HD-U/sHYD showed significant correlation with Hex-A, but HA-U failed to do so with Tol-A. Based on the correlation among biological exposure indicators and solvent concentration in air, sensitivity as an exposure indicator was compared between the solvent in blood and the metabolite in urine in terms of the lowest solvent concentration at which the exposed can be separated (with statistical significance) from the nonexposed (the lowest separation concentration; LSC). The LSC was 3.9 ppm for Hex-B, 1 to 2 ppm for HD-U/sHYD and 10 to 30 ppm for HD-U/cHYD, suggesting that HD-U/sHYD is superior even to Hex-B in detecting low n-hexane exposure; this high sensitivity of HD-U/sHYD is due to the absence of HD-U/sHYD in the urine from the nonexposed.(ABSTRACT TRUNCATED AT 250 WORDS)

Air Pollutants, Occupational↗

Identification and quantitative determination of a carboxylic and a mercapturic acid metabolite of etridiazole in urine of rat and man. Potential tools for biological monitoring.

Etridiazole, 5-ethoxy-3-trichloromethyl-1,2,4-thiadiazole, was orally administered to rats and human volunteers. Two metabolites of etridiazole were synthesized: 5-ethoxy-1,2,4-thiadiazole-3-carboxylic acid (ET-CA) and N-acetyl-S-(5-ethoxy-1,2,4-thiadiazol-3-yl-methyl)-L-cysteine (ET-MA). Selective and sensitive analytical procedures to determine etridiazole, the carboxylic acid ET-CA and the mercapturic acid ET-MA in urine were developed. The detection limit of etridiazole, applying GC with nitrogen selective detection (GC-NPD), was 36 micrograms/l urine (CV = 15.4%, n = 3). The detection limit of ET-CA, applying GC with sulphur selective detection (GC-FPD), was 100 micrograms/l urine (CV = 9.8%, n = 3). In urine of rats orally treated with etridiazole, ET-CA and ET-MA were identified as metabolites of etridiazole, whereas in urine of humans given oral etridiazole, only ET-CA was identified. Unmetabolized etridiazole was excreted for less than 0.1% of the administered dose in rats. ET-CA, however, accounted for 22 +/- 9% of the administered dose of etridiazole in rats and for 13 +/- 6% in humans. ET-MA appeared to be a minor urinary metabolite of etridiazole. ET-CA is proposed as a possible biomarker for the biological monitoring of etridiazole.

Acetylcysteine↗

Simulation system SONCHES-based toxicokinetic model and data bank as a tool in biological monitoring and risk assessment.

This paper describes the use of an interactive simulation system (SONCHES) as a model and databank system. The basic model is a physiologically based toxicokinetic model (partition coefficient concept). This model takes circulation times into consideration and includes a metabolic subsystem with spot urine output. Data libraries related to the physiology of mammals, chemical substances, the external environment (exposure, physical activity, skin uptake, water intake) and real experiments allow various simulation experiments (scenarios). Scenario service and result post processing can be used to compare real experiment and simulated data (data-gathering and interpretation).

Computer Simulation↗

Urinalysis vs. blood analysis, as a tool for biological monitoring of solvent exposure.

Blood and urine samples were collected at the end of an 8-h workshift from 30 male workers exposed to a mixture of n-hexane, ethyl acetate and toluene (each being about 2 ppm as geometric means) and also from 20 nonexposed male workers. Blood samples were analyzed for n-hexane and toluene, and urine samples were analyzed for n-hexane, toluene, 2,5-hexanedione (both with and without hydrolysis) and hippuric acid. Based on the correlation between biological exposure indicators and solvent concentrations in air, sensitivity as an exposure indicator was compared between solvents in blood and solvents or metabolites in urine in terms of the lowest solvent concentration at which the exposed subjects can be statistically separated from the nonexposed. Both n-hexane and toluene in blood were sensitive enough to detect the exposure at 6.1 ppm and 1.4 ppm, respectively. n-Hexane exposure below 2 ppm was detectable also by urinalysis for 2,5-hexadione without hydrolysis. Urinary hippuric acid, however, failed to detect low toluene exposure under the conditions studied. Of additional interest is the fact that toluene in urine correlated significantly with toluene in air, which apparently deserves further study for confirmation.

Acetates↗

Development of a CA125-mesothelin cell adhesion assay as a screening tool for biologics discovery.

Preventing peritoneal implantation of ovarian carcinoma cells could prolong patient remission and survival. CA125 is expressed on most ovarian cancer cells and was reported to be a ligand of mesothelin, a peritoneal protein. We developed a cell adhesion assay with CA125-expresser ovarian cancer cells and human mesothelin-transfected cells and we confirmed that CA125 and mesothelin mediate cell attachment. We also showed that this assay supplies a high-throughput screening system for reagents able to block CA125/mesothelin-dependent cell attachment with a sensitive quantitative readout. We finally demonstrated that a mesothelin chimeric protein and anti-CA125 antibodies block CA125/mesothelin-dependent cell attachment.

Antibodies, Monoclonal↗

Fullerene derivatives: an attractive tool for biological applications.

The fullerene family, and especially C60, has very appealing photo-, electro-chemical and physical properties, which can be exploited in many and different biological fields. Fullerene is able to fit inside the hydrophobic cavity of HIV proteases, inhibiting the access of substrates to the catalytic site of the enzyme. It can be used as radical scavenger; in fact some water-soluble derivatives are able to reduce ROS concentrations. At the same time, if exposed to light, fullerene can produce singlet oxygen in high quantum yields. This action, together with the direct electron transfer from excited state of fullerene and DNA bases, can be used to cleave DNA. In this review we report the most recent aspects of fullerene biological applications.

Animals↗

Conducting polymers on microelectronic devices as tools for biological analyses.

In the field of biological analysis, the need for multiparametric analysis has prompted the development of supports bearing a series of biomolecules linked to a support in a precise location (addressed). To reach a high information density, miniaturization of this kind of support has to be carried out. We describe in this paper an approach involving the use of electro-conducting polymers such as polypyrrole. This technology is based on an electro-directed copolymerization of pyrrole and oligodeoxynucleotides (ODN) linked to a pyrrole residue. The process allows the grafting of the selected ODN at the surface of the successively addressed microelectrodes. In this way, the syntheses are carried out on 50 microm electrodes on passive chips or on active (multiplexed) chips bearing 48 or 128 gold microelectrodes, respectively. The detection of biological targets recognized by the biochip is carried out by using fluorescent tracers. This technology, involving prepurified materials precisely addressed, allows better reproducibility of the biochip preparation and, then, an easy interpretation of the fluorescence results. The versatility of this technology is illustrated by ODN or peptide copolymerizations leading to DNA chips or peptide chips, respectively. This would open the field for other biological interaction studies.

Immunoassay↗

Environmental biodosimetry: a biologically relevant tool for ecological risk assessment and biomonitoring.

Biodosimetry, the estimation of received doses by determining the frequency of radiation-induced chromosome aberrations, is widely applied in humans acutely exposed as a result of accidents or for clinical purposes, but biodosimetric techniques have not been utilized in organisms chronically exposed to radionuclides in contaminated environments. The application of biodosimetry to environmental exposure scenarios could greatly improve the accuracy, and reduce the uncertainties, of ecological risk assessments and biomonitoring studies, because no assumptions are required regarding external exposure rates and the movement of organisms into and out of contaminated areas. Furthermore, unlike residue analyses of environmental media, environmental biodosimetry provides a genetically relevant biomarker of cumulative lifetime exposure. Symmetrical chromosome translocations can impact reproductive success, and could therefore prove to be ecologically relevant as well. We describe our experience in studying aberrations in the yellow-bellied slider turtle as an example of environmental biodosimetry.

Animals↗

Synthetic glycopeptides and glycoproteins as tools for biology.

Investigations into the roles of protein glycosylation have revealed functions such as modulating protein structure and localization, cell-cell recognition, and signaling in multicellular systems. However, detailed studies of these events are hampered by the heterogeneous nature of biosynthetic glycoproteins that typically exist in numerous glycoforms. Research into protein glycosylation, therefore, has benefited from homogeneous, structurally-defined glycoproteins obtained by chemical synthesis. This tutorial review focuses on recent applications of homogeneous synthetic glycopeptides and glycoproteins for studies of structure and function. In addition, the future of synthetic glycopeptides and glycoproteins as therapeutics is discussed.

Amino Acid Sequence↗

Improved tools for biological sequence comparison.

We have developed three computer programs for comparisons of protein and DNA sequences. They can be used to search sequence data bases, evaluate similarity scores, and identify periodic structures based on local sequence similarity. The FASTA program is a more sensitive derivative of the FASTP program, which can be used to search protein or DNA sequence data bases and can compare a protein sequence to a DNA sequence data base by translating the DNA data base as it is searched. FASTA includes an additional step in the calculation of the initial pairwise similarity score that allows multiple regions of similarity to be joined to increase the score of related sequences. The RDF2 program can be used to evaluate the significance of similarity scores using a shuffling method that preserves local sequence composition. The LFASTA program can display all the regions of local similarity between two sequences with scores greater than a threshold, using the same scoring parameters and a similar alignment algorithm; these local similarities can be displayed as a "graphic matrix" plot or as individual alignments. In addition, these programs have been generalized to allow comparison of DNA or protein sequences based on a variety of alternative scoring matrices.

Amino Acid Sequence↗

SAGA: a subgraph matching tool for biological graphs.

MOTIVATION: With the rapid increase in the availability of biological graph datasets, there is a growing need for effective and efficient graph querying methods. Due to the noisy and incomplete characteristics of these datasets, exact graph matching methods have limited use and approximate graph matching methods are required. Unfortunately, existing graph matching methods are too restrictive as they only allow exact or near exact graph matching. This paper presents a novel approximate graph matching technique called SAGA. This technique employs a flexible model for computing graph similarity, which allows for node gaps, node mismatches and graph structural differences. SAGA employs an indexing technique that allows it to efficiently evaluate queries even against large graph datasets. RESULTS: SAGA has been used to query biological pathways and literature datasets, which has revealed interesting similarities between distinct pathways that cannot be found by existing methods. These matches associate seemingly unrelated biological processes, connect studies in different sub-areas of biomedical research and thus pose hypotheses for new discoveries. SAGA is also orders of magnitude faster than existing methods. AVAILABILITY: SAGA can be accessed freely via the web at http://www.eecs.umich.edu/saga. Binaries are also freely available at this website.

Algorithms↗