Protein Fold Prediction and Structure Validation
A knowledge-based approach to protein structure prediction
... the fold-discriminatory potentials of various sequence- and structure-based features and develop a new SVM-based method for protein fold ...best fold-discrimination and therefore they ...
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Comparative Study of Machine Learning Models in Protein Structure Prediction
... cross validation is used to measure the robustness of the random ...in prediction of RMSD .Cross validation results show a uniform performance in all model evaluation ...
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PFP RFSM: Protein fold prediction by using random forests and sequence motifs
... novel fold classification method that improves on known fold rec- ognition ...predicted structure de- scriptors, i.e., the secondary structure information and features based on ...in ...
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A Deeply Glimpse into Protein Fold Recognition
... proposed protein fold class prediction using neural networks with tailored early-stopping ...and validation data ...the fold class of a protein given solely its primary and it ...
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Protein Fold Recognition Using Adaboost Learning Strategy
... PROTEIN FOLD RECOGNITION USING ADABOOST STRATEGY Protein structure prediction is one of the most important and difficult problems in computational molecular ...comparison, ...
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Improving protein structure prediction through data purification.
... secondary structure p red ictio n is also po ...tertiary structure classifier!), w hich com bine the results o f one-versus-one binary classifiers, and com pare the results w ith o th er tertiary ...a ...
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No Unbiased Estimator of the Variance of K-Fold Cross-Validation
... The difficulties of the variance estimation have already been addressed (Dietterich, 1999; Ko- havi, 1995; Nadeau and Bengio, 2003). Some distribution-free bounds on the deviations of cross- validation are ...
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Protein Fold Recognition Algorithms-A General Survey
... for protein structure ...related protein alignment problems are also mentioned in this ...for protein structure prediction is also ...changes. Protein structure ...
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Insilico structure prediction of saer protein from staphylococcus aureus
... the structure of saeR is not ...dimensional structure of SaeR protein with the help of a template which have the sequence identity more ...this protein is important in rational drug ...
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PREDICTION OF PROTEIN TERTIARY STRUCTURE USING CROSS VALIDATION TECHNIQUE
... between protein structure and their functions, the 3D structure prediction and classification of protein sequences has become one of the most challenging tasks in recent ...the ...
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Prediction of Protein Structure using Parallel Genetic Algorithm
... The protein structure prediction based problem is in particular appropriate for the Genetic Algorithms, as these algorithms have produced significantly better results as contrasted to the Monte Carlo ...
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The co evolution of memetic algorithms for protein structure prediction
... lar sequences (homologues) and sub-sequences. In contrast, the third approach represents the ”last chance” scenario of trying to predict the tertiary structure by minimising a free energy model of the ...
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How Good Are Simplified Models for Protein Structure Prediction?
... PCLF problem is proved to be NP-complete [21]. Several techniques have been applied to solve the problem such as exhaustive full enumeration [22], dynamic programming [23], chain growth algorithms [2, 24], move based ...
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Function and Structure Prediction of Rv2004c, a Hypothetical Protein from M.tuberculosis
... wall protein-Rv2004c is characterized and analysed for its function with various reliable bioinformatics ...conserved protein in Mycobacterium genus and also seen in some lineage of Bacteria and it has a ...
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Artificial Neural Network aided Protein Structure Prediction
... Protein structure prediction plays a vital role in drug design and ...Understanding protein structures is necessary to determine the function of a protein and its interaction with DNA, ...
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Computational Design of Protein Structure and Prediction of Ligand Binding
... a protein defines both its thermodynamic and kinetic stabilities, the two properties are ...against protein denaturation and degradation by detergents (by decreasing exposure of the hydrophobic core), ...
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A Novel Prediction Method of Protein Structural Classes Based on Protein Super Secondary Structure
... super-secondary structure features, we do experiment just on proteins in α β / and α β + classes with a 14-dimensional feature ...The prediction accuracies of all structural classes are higher than 90% on ...
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GOR Method for Protein Structure Prediction using Cluster Analysis
... In prediction method for secondary structure of protein determines the accuracy in terms of present percentage of helix, sheet and ...the prediction of all secondary structure elements ...
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Improving protein structure prediction by deep learning and computational optimization
... the protein sequences at either N-terminal or C-terminal sometimes still retains the structural fold ...extracting fold- related features from sequences should capture the consistent patterns despite ...
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Structure prediction and in silico designing of drugs against homeobox C8 protein
... C8 protein (HOXC8) is one of the 39- member HOX family ...HOXC8 protein and its low/loss expression may play a critical role in the amelioration of breast cancers ...
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