نتایج جستجو برای: structural bioinformatics
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Single nucleotide variants (SNVs) are, together with copy number variation, the primary source of variation in the human genome and are associated with phenotypic variation such as altered response to drug treatment and susceptibility to disease. Linking structural effects of non-synonymous SNVs to functional outcomes is a major issue in structural bioinformatics. The SNPeffect database (http:/...
background: the sry gene (sry) provides instructions for making a transcription factor called the sex-determining region y protein. the sex-determining region y protein causes a fetus to develop as a male. in this study, sry of 15 spices included of human, chimpanzee, dog, pig, rat, cattle, buffalo, goat, sheep, horse, zebra, frog, urial, dolphin and killer whale were used for determine of bioi...
Recent advances in genomics and structural biology have resulted in an unprecedented increase in biological data available from Internet-accessible databases. In order to help students effectively use this vast repository of information, undergraduate biology students at Drake University were introduced to bioinformatics software and databases in three courses, beginning with an introductory co...
Proteins are the molecules of life which are involved in cellular processes. The functional specificity of a protein is linked to its structure. A great section of bioinformatics deals with the prediction, analysis and visualization of protein 3D structures. High-throughput methods for the determination of protein structures provide the information needed to build structure-activity relationshi...
Problem statement: Finding an accurate RNA structural alignment from primary sequence due to it is time consuming and computationally NP-hard problem is a major bioinformatics challenge. According to our investigation majority of current researches were concerned on achieving faster execution time, improving space complexity and better cache management. Recently one research introduced cache-ef...
Structural Bioinformatics is concerned with computational methods for the analysis and modeling of three-dimensional molecular structures. There is a plethora of computational tools available to work with structural data on a large scale. Using these tools on distributed computing infrastructures (DCI), however, is often hampered by a lack of suitable interfaces. The MoSGrid (Molecular Simulati...
A graph is called (generically) rigid in Rd if, for any choice of sufficiently generic edge lengths, it can be embedded in Rd in a finite number of distinct ways, modulo rigid transformations. Here, we deal with the problem of determining the maximum number of planar Euclidean embeddings of minimally rigid graphs with 8 vertices, because this is the smallest unknown case in the plane. Until now...
Large-scale biomolecular simulations form an increasingly important component of a number of areas of biological investigation, including bionanoscience, structural bioinformatics and systems biology. Future trends in biomolecular simulations will emphasise greater depth (more detailed physico-chemical models), greater breadth (comparative simulations across families of biomolecules), and great...
This course provides a basic introduction of volume matching techniques in the field of structural bioinformatics. It explains the use of electron microscopy (EM) and electron tomography (ET) data in creating 3D volume maps of proteins, and the approaches that can be used to compare volumes. It describes how volume matching can be used to find similar structures, or to highlight specific differ...
MOTIVATION The computational search for novel microRNA (miRNA) precursors often involves some sort of structural analysis with the aim of identifying which type of structures are prone to being recognized and processed by the cellular miRNA-maturation machinery. A natural way to tackle this problem is to perform clustering over the candidate structures along with known miRNA precursor structure...
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