Protein-carbohydrate and protein-protein interactions: using models to better understand and predict specific molecular recognition

Any molecular recognition event results in a change in the free energy of the system. The extent of this change is related to the association constant, such that the more negative the free energy change is, the tighter the interaction between receptor and ligand. Protein-carbohydrate interactions play a critical role in signal transduction, innate immunity, and metabolism. Modeling these interactions is somewhat complicated by the inherent flexibility of carbohydrates as well as their relatively large number of functional groups. An empirical scoring function for docking carbohydrates to proteins, specifically tailored to predict both the correct binding orientation and free energy of binding of the carbohydrate-ligand/protein-receptor complex, will be presented. This new scoring function can predict free energies of binding to within 1.1 kcal/mol residual standard error, a definite improvement over existing scoring functions that result in standard errors well over 2 kcal/mol. Application of automated docking methodology to determine carbohydrate recognition specificity of the C-type lectin, human surfactant protein D, will also be presented. In the second part of the thesis, the role of pi-stacking interactions (e.g. between Tyr side chains) in stabilizing protein folds will be discussed. A 17-residue peptide derived from the naturally occurring anti-microbial peptide tachyplesin I was investigated using NMR spectroscopy. NOE cross-peaks were observed, confirming the existence of this interaction in solution. In the final part of the thesis, a quantitative NMR investigation into the self-association behavior of the regulatory domains of several Tec family member kinases will be presented. Of particular interest, self-association within Bruton\u27s tyrosine kinase (Btk) regulatory domains occurs through the formation of an asymmetric homodimer. Together this work demonstrates the importance of rigorous biophysical characterization of biomolecular recognition events and the interdependence of computational modeling and experimentation

Classification of RNA structure change by “gazing” at experimental data

Motivation: Mutations (or Single Nucleotide Variants) in folded RiboNucleic Acid structures that cause local or global conformational change are riboSNitches. Predicting riboSNitches is challenging, as it requires making two, albeit related, structure predictions. The data most often used to experimentally validate riboSNitch predictions is Selective 2′ Hydroxyl Acylation by Primer Extension, or SHAPE. Experimentally establishing a riboSNitch requires the quantitative comparison of two SHAPE traces: wild-type (WT) and mutant. Historically, SHAPE data was collected on electropherograms and change in structure was evaluated by ‘gel gazing.’ SHAPE data is now routinely collected with next generation sequencing and/or capillary sequencers. We aim to establish a classifier capable of simulating human ‘gazing’ by identifying features of the SHAPE profile that human experts agree ‘looks’ like a riboSNitch

Transcending the prediction paradigm: novel applications of SHAPE to RNA function and evolution

Selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) provides information on RNA structure at single-nucleotide resolution. It is most often used in conjunction with RNA secondary structure prediction algorithms as a probabilistic or thermodynamic restraint. With the recent advent of ultra-high-throughput approaches for collecting SHAPE data, the applications of this technology are extending beyond structure prediction. In this review, we discuss recent applications of SHAPE data in the transcriptomic context and how this new experimental paradigm is changing our understanding of these experiments and RNA folding in general. SHAPE experiments probe both the secondary and tertiary structure of an RNA, suggesting that model-free approaches for within and comparative RNA structure analysis can provide significant structural insight without the need for a full structural model. New methods incorporating SHAPE at different nucleotide resolutions are required to parse these transcriptomic data sets to transcend secondary structure modeling with global structural metrics. These 'multiscale' approaches provide deeper insights into RNA global structure, evolution, and function in the cell. For further resources related to this article, please visit the WIREs website

On the Characterization of Microporous Carbon Blacks by Various Techniques

It is shown that the combination of different techniques, based on the adsorption of vapors and on calorimetry, can lead to the unambiguous characterization of carbonaceous materials. The case of a microporous carbon black, with pores in the range 0.35–1.2 nm, is used as an example

Long-term effects of non-surgical therapy for obesity on cardiovascular risk management: a weighted empirical review

Weight loss affects cardiovascular risk profiles in obese patients. Surgery is not a plausible or viable response to the public health problem of obesity, given that more than 30% of adults are obese in some countries. However, most studies investigating the effects of weight loss on the cardiovascular risk profile are focussed on weight loss and limited to short-term effects. Since newer data show a rebound of cardiovascular risks in studies that complete a short-term follow-up, the question arises whether, and to what extent, long-term treatments offer a more sustained cardiovascular benefit beside the extensive or less marked weight loss. Aims The purpose of this article is to critically review existing data on the long-term cardiovascular effects of weight loss in obese and overweight patients treated with dietary interventions, physical activity programmes, behavioural therapy and pharmacological treatments and their combination. Method Inclusion criteria were peer-reviewed, randomized controlled trials (RCT) in the English language which presented data on cardiovascular effects at a follow-up of at least 18months during or after weight reduction interventions. The search was limited to adults and the publication years between 1990 and 2007. Studies of patients with diagnoses such as coronary heart disease and cancer, and medically treated diabetes and hypertension were excluded. Results Twenty-three studies measured cardiovascular risk factors after 18months or more. Mean BMI was 33.9kg/m2 including 13,733 patients. Mean duration of the studies was 37months with a dropout rate of 16.1% on average. Regardless of the absolute amount of weight loss a positive effect on cardiovascular risk factors such as blood pressure, lipids and glucose tolerance was foun

Local RNA Structural Changes Induced by Crystallization are Revealed by SHAPE

We present a simple approach to locate sites that undergo conformational changes upon crystallization by comparative structural mapping of the same RNA in three different environments. As a proof of principle, we probed the readily crystallized P4–P6ΔC209 domain from the Tetrahymena thermophila group I intron in a native solution, in a solution mimicking the crystallization drop, and in crystals. We chose the selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE) chemistry, which monitors the flexibility and the conformation of each nucleotide. First, SHAPE successfully revealed the structural changes that occur during the crystallization process. Specifically, 64% of the nucleotides implicated in packing contacts and present in the portion of the molecule analyzed were identified. Second, reactivity differences for some of these nucleotides were already observed in the crystallization solution, suggesting that the crystallization buffer locked down a particular structure that was favorable to crystal formation. Third, the probing of a known structure extends our understanding of the structural basis for the SHAPE reaction by suggesting that reactivity is enhanced by a C2′-endo sugar pucker. Furthermore, by identifying local conformational changes of the RNA that take place during crystallization, SHAPE could be combined with the in vitro selection of stable mutants to rationalize the design of RNA candidates for crystallization

Polysaccharide Recognition by Surfactant Protein D: Novel Interactions of a C-Type Lectin with Nonterminal Glucosyl Residues

Surfactant protein D (SP-D), a C-type lectin, is an important pulmonary host defense molecule. Carbohydrate binding is critical to its host defense properties, but the precise polysaccharide structures recognized by the protein are unknown. SP-D binding toAspergillus fumigatus is strongly inhibited by a soluble β-(1→6)-linked but not by a soluble β-(1→3)-linked glucosyl homopolysaccharide (pustulan and laminarin, respectively), suggesting that SP-D recognizes only certain polysaccharide configurations, likely through differential binding to nonterminal glucosyl residues. In this study we have computationally docked α/β-d-glucopyranose and α/β-(1→2)-, α/β-(1→3)-, α/β-(1→4)-, and α/β-(1→6)-linked glucosyl trisaccharides into the SP-D carbohydrate recognition domain. As with the mannose-binding proteins, we found significant hydrogen bonding between the protein and the vicinal, equatorial OH groups at the 3 and 4 positions on the sugar ring. Our docking studies predict that α/β-(1→2)-, α-(1→4)-, and α/β-(1→6)-linked but not α/β-(1→3)-linked glucosyl trisaccharides can be bound by their internal glucosyl residues and that binding also occurs through interactions of the protein with the 2- and 3-equatorial OH groups on the glucosyl ring. By using various soluble glucosyl homopolysaccharides as inhibitors of SP-D carbohydrate binding, we confirmed the interactions predicted by our modeling studies. Given the sequence and structural similarity between SP-D and other C-type lectins, many of the predicted interactions should be applicable to this protein family