L-serine dehydratase (SDH), a member of the beta-family of pyridoxal phosphate-dependent (PLP) enzymes, catalyzes the deamination of L-serine and L-threonine to yield pyruvate or 2-oxobutyrate. The crystal structure of L-serine dehydratase from human liver (hSDH) has been solved at 2.5 A-resolution by molecular replacement. The structure is a homodimer and reveals a fold typical for beta-family...

Conformational flexibility of bioactive molecules poses a major challenge to computational biology. tCONCOORD generates structure ensembles based on geometrical considerations and has been successfully applied to predict protein conformational flexibility and essential degrees of freedom. We have now developed a graphical user interface (GUI) for tCONCOORD, which substantially facilitates the s...

In this paper, we prove that Optimal Tuple Merge (OTM) is NP-Complete. OTM arises within the context of relational query language extensions to query and manipulate metadata as well as data. Such extensions include the ability to create dynamic output schemas from the input data. This flexibility is necessary for truly schema independent restructuring, however many null values may be introduced...

The Entropically Damped Artificial Compressibility (EDAC) method of Clausen [2013] is an interesting alternative to the traditional artifical compressibility technique. We apply the EDAC method in the context of Smoothed Particle Hydrodynamics. In this work we present preliminary results for this method. The method is easy to implement in a standard SPH framework. Our simulations are compared w...

We study the use of multi-layer perceptrons in applying artifical learning to the recognition of emotional expressions from frontal images of human faces. The perceptrons are trained using per-pixel luma data from the images’ mouth and eye areas, and map the inputs to one of 6 emotions. We compare 3 different methods for processing input information: 1) one network module for all inputs; 2) one...

Drosophila represents a model organism to analyze neuronal mechanisms underlying learning and memory. Kenyon cells of the Drosophila mushroom body are required for associative odor learning and memory retrieval. But is the mushroom body sufficient to acquire and retrieve an associative memory? To answer this question we have conceived an experimental approach to bypass olfactory sensory input a...

Tutoring systems are computer-based learning systems. In order to be “intelligent” they must present “humanlike” tutoring capabilities. Tutoring systems should be able to adjust the content and delivery to students’ characteristics and needs by analyzing and anticipating their effective responses and behaviors. There is ongoing research to improve the effectiveness of dialogue and feedback for ...

Real-world applications of optimisation techniques place more importance on finding approaches that result in acceptable quality solutions in a short time-frame and can provide robust solutions, capable of being modified in response to changes in the environment than seeking elusive global optima. We demonstrate that a hyper-heuristic approach NELLI* that takes inspiration from artifical immune...

For two independently drawn samples from continuous distributions, a statistical test based on the mutual information statistic is proposed for the null hypothesis that both the samples originate from the same population. It is demonstrated through simulation that this test is more powerful than the commonly used nonparametric tests in many situations. As an application we discuss the informati...