Examples of using Structure prediction in English and their translations into Russian
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GOR IV andPSIPRED- protein secondary structure prediction tools.
Protein secondary structure prediction with GOR IV and PSIPRED algorithms.
While the methods are similar, there are slight differences in the approaches to RNA and DNA structure prediction.
Protein structure prediction is one of the most important goals pursued by bioinformatics and theoretical chemistry.
He is known mostly for his works on computational materials discovery and crystal structure prediction.
GOR IV andPSIPRED- protein secondary structure prediction tools feel free to checkcorresponding documentation.
From its initial development in 2005,USPEX proved to be a powerful tool for crystal structure prediction.
To avoid duplicate structure predictions on a given protein, each workunit is initialized with a random seed number.
With the the proposed general coordinates, one can reduce the multi-dimensional problem of sequence-based local structure prediction to several univariate problems.
Protein structure predictions from Rosetta@home are approximations of a global minimum in a given protein's energy landscape.
High scoring groups in this sometimes competitive experiment are considered the de facto standard-bearers for what is the state of the art in protein structure prediction.
Crystal structure prediction methods often locate many possible structures within this small energy range.
Rosetta@home is a distributed computing project aimed at protein structure prediction and is one of the most accurate tertiary structure predictors.
Many secondary structure prediction methods rely on variations of dynamic programming and therefore are unable to efficiently identify pseudoknots.
In the 2004 CASP6 experiment, Rosetta made history by being the first to produce aclose to atomic-level resolution, ab initio protein structure prediction in its submitted model for CASP target T0281.
Nucleic acid structure prediction is a computational method to determine secondary and tertiary nucleic acid structure from its sequence.
Rosetta is used in the Critical Assessment of Prediction of Interactions(CAPRI) experiment,which evaluates the state of the protein docking field similar to how CASP gauges progress in protein structure prediction.
Conversely, structure prediction algorithms can be improved from thermodynamic and kinetic models and the sampling aspects of protein folding simulations.
Workunits containing data on individual proteins are distributed from servers located in the Baker lab at the University of Washington to volunteers' computers,which then calculate a structure prediction for the assigned protein.
Most commonly, the term crystal structure prediction means a search for the minimum-energy arrangement of its constituent atoms(or, for molecular crystals, of its molecules) in space.
Strictly speaking, an optimal solution to the protein structure alignment problem is only known for certainprotein structure similarity measures, such as the measures used in protein structure prediction experiments, GDT_TS and MaxSub.
In addition to crystal structure prediction, USPEX can work in other dimensionalities and predict the structure of nanoparticles, polymers, surfaces, interfaces and 2D-crystals.
ClustalW is used extensively for phylogenetic tree construction, in spite of the author's explicit warnings that unedited alignments should not be used in such studies andas input for protein structure prediction by homology modeling.
Protein structure prediction methods attempt to provide a means of generating a plausible structure for proteins whose structures have not been experimentally determined.
Major research efforts in the field include sequence alignment, gene finding, genome assembly, drug design, drug discovery,protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, genome-wide association studies, the modeling of evolution and cell division/mitosis.
Protein structure prediction is the prediction of the three-dimensional structure of a protein from its amino acid sequence-that is, the prediction of a protein's tertiary structure from its primary structure. .
Progress in protein structure prediction is evaluated in the biannual Critical Assessment of Techniques for Protein Structure Prediction(CASP) experiment, in which researchers from around the world attempt to derive a protein's structure from the protein's amino acid sequence.
With full-genome sequences available, structure prediction can be done more quickly through a combination of experimental and modeling approaches, especially because the availability of large number of sequenced genomes and previously solved protein structures allows scientists to model protein structure on the structures of previously solved homologs.
Probabilistic graphical models form a large class of structured prediction models.
Other algorithms and models for structured prediction include inductive logic programming, case-based reasoning, structured SVMs, Markov logic networks and constrained conditional models.