Structure prediction
Superfamily assignments for the yeast proteome through integration of structure prediction with the gene ontology.
... unknown structure and/or unknown function. Knowledge of the structure of a protein is critical to understand how it functions, and hence, a complete set of protein structures for yeast is desirable, but ...
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3D structure prediction of histone acetyltransferase (HAC) proteins of the p300/CBP family and their interactome in Arabidopsis thaliana
... protein structure prediction that is free for non-commercial ...accurate structure of HAC1, where the HAC1 structural modeling by the Phyre2 server proved to be the most accurate, along with the ...
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Building a better fragment library for de novo protein structure prediction.
... protein structure predic- ...for structure fragment library generation and its application in fragment-based de novo protein structure ...protein structure prediction scenario, ...
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Potentials of mean force for protein structure prediction vindicated, formalized and generalized.
... protein structure prediction are thus not statistically rigorous, because they do not make use of a proper joint probability distribution over the pairwise distances, which are strongly intercorrelated due ...
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Protein structural model selection by combining consensus and single scoring methods.
... Quality assessment (QA) for predicted protein structural models is an important and challenging research problem in protein structure prediction. Consensus Global Distance Test (CGDT) methods assess each ...
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A probabilistic model of RNA conformational space.
... structure prediction. As is the case for proteins, RNA 3-D structure prediction methods require two key ingredients: an accurate energy function and a conformational sampling ...RNA ...
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Multiple group I introns in the small-subunit rDNA of Botryosphaeria dothidea: implication for intraspecific genetic diversity.
... Botryosphaeria dothidea is a widespread and economically important pathogen on various fruit trees, and it often causes die-back and canker on limbs and fruit rot. In characterizing intraspecies genetic variation within ...
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Towards universal structure-based prediction of class II MHC epitopes for diverse allotypes.
... explore structure-based methods for predicting peptide binding affinities to class II ...template structure and docked peptides into these MHC models using simulated annealing optimization with the AMBER ...
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Prediction of the amount of secondary structure of proteins using unassigned NMR spectra: A tool for target selection in structural proteomics
... ondary structure prediction is not new and has been shown to be very reliable (Ayers et ...for structure calculation has been considered and is a powerful tool to this end (Cornilescu et ...for ...
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A Similar Structure Block Prediction for Lossless Image Compression
... on structure prediction has been successfully designed and ...motion prediction in video coding, attempting to find an optimal prediction of a structure components within previously ...
5
A nuclear ribosomal DNA pseudogene in triatomines opens a new research field of fundamental and applied implications in Chagas disease
... secondary structure prediction and free energy evaluation, to be strict in comparisons between functional and pseudogenic ...secondary structure of the putative pseudogenic se- quences ...mfe ...
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A bioinformatics study concerning structural and functional properties of human caveolin proteins
... secondary structure predictions unanimously predict the 77–141 amino acid sequence as ...domain prediction was also obtained for the amino acid sequence ...this prediction is in agreement with the ...
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Evaluation and use of in-silico structure-based epitope prediction with foot-and-mouth disease virus.
... 3D structure of a virus to identify novel ...structural prediction algorithms to build a method for identifying epitopes on the appropriate outer surface of intact virus capsids (which are structurally ...
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Nearest template prediction: a single-sample-based flexible class prediction with confidence assessment.
... and prediction need to be performed on a single patient ...of prediction confidence is necessary to make reliable clinical decision considering any classification and prediction algorithms could ...
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Load Value Prediction Method to Utilize Prediction Miss Bias
... for instruction set. The benchmark programs of bzip, gcc, gzip, mcf, parser, vortex, and vpr from SPECint2000 are used. Last value predictor is used as the baseline mechanism. Here, we define evaluation items of ...
6
Opposite Degree Algorithm and Its Applications
... applied in some engineering fields, such as metal wear safety prediction [1], the settlement of soft. soil foundation prediction [2][r] ...
3
An ensemble regression approach for bus trip time prediction
... The broader aim of our research project is to design a decision support system for the operational management of mass transit companies in all the areas discussed in section 2. In this paper we focus on trip time ...
5
Rev. Bras. Geof. vol.19 número2
... their prediction schemes for NE Brazil seasonal (March- June) rainfall, Hastenrath and Greischar (1993) used five potential predictors, one of which was the pre- season October-January rainfall , for which the ...
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A survey of buckling of conical shells subjected to axial compression and external pressure
... Theoretical prediction of externally pressurized cones Some of the earliest analyses of stability of conical shells under external pressure are given in Refs [16, ...
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A Differential Evolution for Operon Prediction
... N prokaryotic organisms operons of bacterial genomes contain valuable information, for drug design and protein functions. An operon contains a promoter, an operator, one or more continuously-structural gene, and a ...
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