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M Waldman

Publications and source records attributed to M Waldman.

15 recordsLinked to original sources

Relationship of cellular transmigration and airway response after allergen challenge.

We examined the relationship between eosinophil migration into the bronchoalveolar space and change in FEV(1) after endobronchial allergen challenge (EBAC) in atopic asthmatic (AA) and atopic nonasthmatic (ANA) subjects. The purpose of this study was to obtain continuous, intrasubject controlled assessment of the relationship between cell migration in control and allergen-challenged segments in the same individuals over 96 h. In AA subjects, the eosinophil (Eos) count in the bronchoalveolar lavage fluid (BALF) increased from a baseline of 7,896 +/- 3,865 to 416,476 +/- 231,012 Eos/ml by 72 h (p = 0.001) in the challenged segment post-EBAC. For ANA subjects, the postsegmental challenge count was 29,874 +/- 474 Eos/ml (p = 0.03 versus baseline and p < 0.05 AA peak versus ANA peak). In both groups, there was a comparable decrease in peripheral blood eosinophil count beginning 5 h after challenge, which resolved at 24 h. In AA subjects, 416,476 +/- 231,012 Eos/ml was obtained from the allergen-challenged segment and 23,522 +/- 8,298 Eos/ml was obtained from the sham-challenged segment (p < 0.001) at 72 h. In contrast, there was no difference in the Eos count obtained from the BALF between the antigen- and sham-challenged segments of ANA subjects. We also found that increased airway neutrophils were present in equal numbers in allergen-challenged and sham-challenged segments in both AA and ANA subjects. We conclude that augmented eosinophil migration after EBAC is a characteristic of atopic asthma and is not present in atopic subjects who do not have asthma. We find that BAL eosinophilia in ANA patients as well as neutrophilia in both ANA and AA subjects are nonspecific consequences of bronchoscopy. Finally, we find no relationship between specific airway eosinophil migration into the BALF and FEV(1) < 72 h after challenge; however, at 96 h, there is a substantial decrease in FEV(1) that accompanies BALF eosinophilia.

Allergens↗

Derivation of class II force fields. VI. Carbohydrate compounds and anomeric effects.

The methodology for deriving class II force fields has been applied to acetal, hemiacetal, and carbohydrate compounds. A set of eighteen model compounds containing one or more anomeric centers was selected for generating the quantum mechanical energy surface, from which the force field was derived and the functional form assessed. The quality of the fit was tested by comparing the energy surface predicted by the force field with ab initio results. Structural, energetic, and dynamic properties (vibrational frequencies) were analyzed. In addition, alpha and beta anomeric equilibrium structures and energies of 2-methoxytetrahydropyran, 2-deoxyribose, and glucose were computed at the HF/6-31G* and higher ab initio levels. These calculations provide test data from molecules outside the training set used to derive the force field. The quantum calculations were used to assess the ability of the class II force field and two quadratic diagonal (class I) force fields, CVFF, and Homans' extension of the AMBER force field, to account for the anomeric effects on the structural and energetic properties of carbohydrate systems. These class I force fields are unable to account for observed structural and energetic trends, exhibiting deviations as large as 5 kcal/mol in relative energies. The class II force field, on the other hand, is shown to reproduce anomeric structural as well as energetic differences. An energy component analysis of this force field shows that the anomeric differences are dominated by torsional energies, although coupling terms, especially angle/torsion, also make significant contributions (roughly 1 kcal/mol in glucose). In addition, the force field accurately accounts for both anomeric and exo-anomeric energy differences in 2-methoxytetrahydropyran, and anomeric energy differences in 2-deoxyribose and glucose.

Carbohydrates↗

Conflict of interest, physicians and physiotherapy.

Since Ontario introduced auto-insurance legislation that guaranteed extensive physiotherapy treatment for people who have been in car accidents, the cost of outpatient claims to insurance companies has skyrocketed. However, there has not been a measurable improvement in patient outcomes. At the same time, the average in-hospital stay for patients receiving hip and joint replacements has decreased greatly. Dr. Murray Waldman thinks these divergent trends in rehabilitation can be attributed to physician self-interest.

Accidents, Traffic↗

Optimization and visualization of molecular diversity of combinatorial libraries.

One of the major goals of rational design of combinatorial libraries is to design libraries with maximum diversity to enhance the potential of finding active compounds in the initial rounds of high-throughput screening programs. We present strategies to visualize and optimize the structural diversity of sets of molecules, which can be either potential substituents to be attached at specific positions of the library scaffold, or entire molecules corresponding to enumerated libraries. The selection of highly diverse subsets of molecules from the library is based on the stochastic optimization of 'Diversity' functions using a single-point-mutation Monte Carlo technique. The Diversity functions are defined in terms of the distances among molecules in multidimensional property space resulting from the calculation of 2D and 3D molecular descriptors. Several Diversity functions, including an implementation of D-Optimal design, are applied to select diverse subsets and the results are compared. The diversity of the selected subsets of molecules is visualized by embedding the intermolecular distances, defined by the molecules in multidimensional property space, into a three-dimensional space.

Amino Acids↗

Seesaw nystagmus.

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Adolescent↗

Aphorisms.

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Aphorisms and Proverbs as Topic↗

Novel algorithms for the optimization of molecular diversity of combinatorial libraries.

Various approaches to measuring and optimizing molecular diversity of combinatorial libraries are presented. The need for different diversity metrics for libraries consisting of discrete molecules ("cherry picking") vs libraries formed from combinatorial R-group enumeration (array-based selection) is discussed. Ideal requirements for diversity metrics applied to array-based selection are proposed, focusing, in particular, on the concept of incremental diversity, i.e., the change in diversity as redundant or nonredundant molecules are added to a compound collection or combinatorial library. Several distance and cell-based diversity functions are presented and analyzed in terms of their ability to satisfy these requirements. These diversity functions are applied to designing diverse libraries for two test cases, and the performance of the diversity functions is assessed. Issues associated with redundant molecules in the virtual library are discussed and analyzed using one of the test examples. The results are compared to reagent-based diversity optimizations, and it is shown that a product-based diversity protocol can result in significant improvements over a reagent-based scheme based on the diversity obtained for the resulting libraries.

Algorithms↗

Combinatorial library design for diversity, cost efficiency, and drug-like character.

Most computational techniques for the design of combinatorial libraries have concentrated solely on maximizing the diversity of the selected subset or its similarity to a known target. However, such libraries can produce high-throughput screening hits with properties that make them unsuitable to take forward into medicinal chemistry. This article describes software that allows the design of library subsets to simultaneously optimize a library's diversity or similarity to a target, properties (such as drug likeness) of the library members, properties (such as cost) of the reagents required to make them, and efficiency of synthesis in arrays or mixtures. Example are given showing that libraries can be designed to contain drug-like molecules with only a small trade-off in terms of the maximum possible diversity, and that the cost of the library, in terms of the reagents required to make it, can be contained. Other examples show that libraries can be designed to minimize the deconvolution problem or to maximize the number of molecules predicted to be active while also being designed for efficiency of synthesis.

Algorithms↗

Evaluation of reagent-based and product-based strategies in the design of combinatorial library subsets.

With the current and ever-growing offering of reagents along with the vast palette of organic reactions, virtual libraries accessible to combinatorial chemists have dramatically increased in size. Yet, extracting representative subsets for experimentation is an essential step in the design of combinatorial libraries. There has been some controversy whether it is necessary to consider product properties, at some computational expense, or whether sufficiently representative sets can be identified from considerations of the reagent space alone. This study compares the efficiency of reagent-based selections and that of product-based combinatorial subsetting in the identification of representative library subsets. Quantitative estimates reported herein show that the advantage of working in product space is descriptor dependent. For some descriptors, product-based approaches provide a distinct advantage, whereas for others results from reactant pools offer comparable results. Hence the behavior of descriptors, in mapping diversity from reagent space to product space, should be investigated prior to embarking into lengthy product-based considerations. Several classes of descriptors are studied including two-dimensional fingerprints (ISIS and Daylight) and physicochemical descriptors.

Benzodiazepines↗