Hippy is a novel protein visualization tool designed to meet the needs of those who are working with contact maps for protein structure prediction, and in particular for those desiring to gain insight into the configurations and properties of pairs of alpha helices. It is the only known program that allows the simultaneous display of the structure and the contact map. Users can customize Hippy ...

background and objective: obstructive sleep apnea (osa) is the most common type of sleep-disordered breathing. multivariable apnea prediction (map) index consists of three questions about the frequency of osa symptoms plus body mass index (bmi), age and sex that categorizes the patients to low and high risk for osa using a formula. objective map index was calculated by discounting the questions...

Resistance spot welding (RSW) includes many variables that can influence the weld properties. The purpose of this study is to develop an analytical model for prediction of thermal history and weld microstructure in RSW and to find the most important process parameters that influence the weld microstructure. A one dimensional model is proposed for prediction about thermal history during cooling ...

Advances in molecular biology and the tools and techniques available for analysing molecular structure are providing a rapidly increasing deluge of information that maps fundamental genetic structures in humans and other organisms. Intelligent support is essential for managing and interpreting this overwhelming amount of data, and one of the most important tasks faced currently is the analysis ...

In this poster we present a gene prediction approach based on the Self-Organizing Map that has the ability to automatically identify all the major patterns of content variation within a genome. The genome may then be scanned for regions displaying the same properties as one of these automatically identified models. Even using a relatively simple coding measure (codon usage), this method can pre...

Contact maps have been used in ab initio methods for the problem of protein structure prediction problem. Secondary structures and contacts made by the residues are clearly visible in the contact maps where helices are seen as thick bands and the beta sheets are seen as orthogonal to the diagonal. This paper explores the idea of extracting rules from contact maps to represent “protein fold” inf...

We show that visio-spatial representations and reasoning can be used as a similarity metric for case-based protein structure prediction. Our system retrieves pairs of α-helices based on contact map similarity, then transfers and adapts the structure information to an unknown helix pair. We show that similar protein contact maps predict a similar three-dimensional protein structure. The success ...

Production and prediction of land-use/land cover changes (LULCC) map are among the significant issues regarding input of many environmental and hydrological models. Among various introduced methods, similarity-weighted instance-based machine learning algorithm (SimWeight) and Markov-chain with lower complexity and proper performnce are frequently used. The main aim of this study is utilizing Si...