Stochastic protein folding simulation in the three-dimensional HP-model

We present results from three-dimensional protein folding simulations in the HP-model on ten benchmark problems. The simulations are executed by a simulated annealing-based algorithm with a time-dependent cooling schedule. The neighbourhood relation is determined by the pull-move set. The results provide experimental evidence that the maximum depth D of local minima of the underlying energy landscape can be upper bounded by D < n(2/3). The local search procedure employs the stopping criterion (In/delta)(D/gamma) where m is an estimation of the average number of neighbouring conformations, gamma relates to the mean of non-zero differences of the objective function for neighbouring conformations, and 1-delta is the confidence that a minimum conformation has been found. The bound complies with the results obtained for the ten benchmark problems. (c) 2008 Elsevier Ltd. All rights reserved.

Nitric oxide-A novel therapeutic for cancer.

Much research over the past two decades has focussed on understanding the complex interactions of nitric oxide (NO()) in both physiological and pathological processes. As with many other aspects of NO() biology, its precise role in tumour pathophysiology has been the cause of intense debate and we now know that it participates in numerous signalling pathways that are crucial to the malignant character of cancer. The available experimental evidence highlights contrasting pro- and anti-tumour effects of NO() expression, which appear to be reconciled by consideration of the concentrations involved. This review addresses the complexities of the role of NO() in cancer, whilst evaluating various experimental approaches to NO()-based cancer therapies, including both inhibition of nitric oxide synthases, and overexpression of NO() using donor drugs or nitric oxide synthase gene transfer. The evidence provided strongly supports a role for manipulation of tumour NO() either as a stand-alone therapy or in combination with conventional treatments to achieve a significant therapeutic gain.

Population-based local search for protein folding simulation in the MJ energy model and cubic lattices

We present experimental results on benchmark problems in 3D cubic lattice structures with the Miyazawa-Jernigan energy function for two local search procedures that utilise the pull-move set: (i) population-based local search (PLS) that traverses the energy landscape with greedy steps towards (potential) local minima followed by upward steps up to a certain level of the objective function; (ii) simulated annealing with a logarithmic cooling schedule (LSA). The parameter settings for PLS are derived from short LSA-runs executed in pre-processing and the procedure utilises tabu lists generated for each member of the population. In terms of the total number of energy function evaluations both methods perform equally well, however. PLS has the potential of being parallelised with an expected speed-up in the region of the population size. Furthermore, both methods require a significant smaller number of function evaluations when compared to Monte Carlo simulations with kink-jump moves. (C) 2009 Elsevier Ltd. All rights reserved.

Ranking of microRNA target prediction scores by Pareto front analysis

Over the past ten years, a variety of microRNA target prediction methods has been developed, and many of the methods are constantly improved and adapted to recent insights into miRNA-mRNA interactions. In a typical scenario, different methods return different rankings of putative targets, even if the ranking is reduced to selected mRNAs that are related to a specific disease or cell type. For the experimental validation it is then difficult to decide in which order to process the predicted miRNA-mRNA bindings, since each validation is a laborious task and therefore only a limited number of mRNAs can be analysed. We propose a new ranking scheme that combines ranked predictions from several methods and - unlike standard thresholding methods - utilises the concept of Pareto fronts as defined in multi-objective optimisation. In the present study, we attempt a proof of concept by applying the new ranking scheme to hsa-miR-21, hsa-miR-125b, and hsa-miR-373 and prediction scores supplied by PITA and RNAhybrid. The scores are interpreted as a two-objective optimisation problem, and the elements of the Pareto front are ranked by the STarMir score with a subsequent re-calculation of the Pareto front after removal of the top-ranked mRNA from the basic set of prediction scores. The method is evaluated on validated targets of the three miRNA, and the ranking is compared to scores from DIANA-microT and TargetScan. We observed that the new ranking method performs well and consistent, and the first validated targets are elements of Pareto fronts at a relatively early stage of the recurrent procedure. which encourages further research towards a higher-dimensional analysis of Pareto fronts. (C) 2010 Elsevier Ltd. All rights reserved.

Structural information content of networks: Graph entropy based on local vertex functionals

In this paper we define the structural information content of graphs as their corresponding graph entropy. This definition is based on local vertex functionals obtained by calculating-spheres via the algorithm of Dijkstra. We prove that the graph entropy and, hence, the local vertex functionals can be computed with polynomial time complexity enabling the application of our measure for large graphs. In this paper we present numerical results for the graph entropy of chemical graphs and discuss resulting properties. (C) 2007 Elsevier Ltd. All rights reserved.

The molecular basis of galactosemia - Past, present and future

Galactosemia, an inborn error of galactose metabolism, was first described in the 1900s by von Ruess. The subsequent 100years has seen considerable progress in understanding the underlying genetics and biochemistry of this condition. Initial studies concentrated on increasing the understanding of the clinical manifestations of the disease. However, Leloir's discovery of the pathway of galactose catabolism in the 1940s and 1950s enabled other scientists, notably Kalckar, to link the disease to a specific enzymatic step in the pathway. Kalckar's work established that defects in galactose 1-phosphate uridylyltransferase (GALT) were responsible for the majority of cases of galactosemia. However, over the next three decades it became clear that there were two other forms of galactosemia: type II resulting from deficiencies in galactokinase (GALK1) and type III where the affected enzyme is UDP-galactose 4'-epimerase (GALE). From the 1970s, molecular biology approaches were applied to galactosemia. The chromosomal locations and DNA sequences of the three genes were determined. These studies enabled modern biochemical studies. Structures of the proteins have been determined and biochemical studies have shown that enzymatic impairment often results from misfolding and consequent protein instability. Cellular and model organism studies have demonstrated that reduced GALT or GALE activity results in increased oxidative stress. Thus, after a century of progress, it is possible to conceive of improved therapies including drugs to manipulate the pathway to reduce potentially toxic intermediates, antioxidants to reduce the oxidative stress of cells or use of "pharmacological chaperones" to stabilise the affected proteins.

Molecular Medicine and Molecular Pathology for Haematologists:I. Gene Speak made Easy: An Overview of Genes and Gene Expression

Molecular Medicine and Molecular Pathology are integral parts of Haematology as we enter the new millennium. Their origins can be linked to fundamental developments in the basic sciences, particularly genetics, chemistry and biochemistry. The structure of DNA and the genetic code that it encrypts are the critical starting points to our understanding of these new disciplines. The genetic alphabet is a simple one, consisting of just 4 letters, buts its influence is crucial to human development and differentiation. The concept of a gene is not a new one but the Human Genome Project (a joint world-wide effort to characterise our entire genetic make-up) is providing an invaluable understanding of how genes function in normal cellular processes and pinpointing how disruption of these processes can lead to disease. Transcription and translation are the key events by which our genotype is converted to our phenotype (via a messenger RNA intermediate), producing the myriad proteins and enzymes which populate the cellular factory of our body. Unlike the bacterial or prokaryotic genome, the human genome contains a large amount of non coding DNA (less than 1% of our genome codes for proteins), and our genes are interrupted, with the coding regions or exons separated by non coding introns. Precise removal of the intronic material after transcription (though a process called splicing) is critical for efficient translation to occur. Incorrect splicing can lead to the generation of mutant proteins, which can have a dilaterious effect on the phenotype of the individual. Thus the 100,000-200,000 genes which are present in each cell in our body have a defined control mechanism permitting efficient and appropriate expression of proteins and enzymes and yet a single base change in just one of those genes can lead to diseases such as haemophilia or fanconis anaemia.