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Protein Structure Prediction

This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the;

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Prediction of Protein Structures, Functions, and Interactions

for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization. Prediction;

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A Metaheuristic Approach to Protein Structure Prediction

This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and;

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Introduction to Protein Structure Prediction

algorithms that are used to predict protein structure written by experts who participate in the structure prediction competition. The book also;

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Protein Bioinformatics

prediction in the protein structure. The aim of this book is to describe hybrid methods that have been developed in order to solve the problem;

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Protein Secondary Structure Prediction

predictors have been developed for prediction of secondary structure of proteins with varying levels of accuracy. This book provides Adaptive Neuro;

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Protein Structure Prediction

While most textbooks on bioinformatics focus on genetic algorithms and treat protein structure prediction only superficially, this course;

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Computational Biology

alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution.;

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Protein Conformation

Protein structure is the characteristic 3-dimensional shape of a protein, imposed upon it by the secondary and tertiary structure of the;

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Protein Structure

errors in the prediction of protein structural models, and outlines challenges in the conversion of routine processes into high-throughput;

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Protein Structure Prediction

The three-dimensional structure of proteins is a key factor in their biological activity. There is an increasing need to be able to predict;

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Methods in Proteome and Protein Analysis

fluorescence polarization study; the classification and prediction of structure or functional sites; in silico analysis of proteins and proteomes;

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Practical Bioinformatician, The

and regulatory sites in DNA sequences.* Incisive discussion of computational prediction of secondary structure of RNA sequences.* Overview;

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Practical Bioinformatician, The

and regulatory sites in DNA sequences.* Incisive discussion of computational prediction of secondary structure of RNA sequences.* Overview;

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Computational Protein-Protein Interactions

in the prediction of protein-protein interactions, including interference with protein-protein interactions and their design. Explores;

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Computational Protein-Protein Interactions

in the prediction of protein-protein interactions, including interference with protein-protein interactions and their design. Explores;

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New Approaches of Protein Function Prediction from Protein Interaction Networks

New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein;

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Protein Bioinformatics

bioinformatics tools available today for protein analysis, interpretation and prediction. Students and researchers of biotechnology, bioinformatics;

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Machine Learning for Protein Subcellular Localization Prediction

Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction;

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Biomat 2006 - International Symposium On Mathematical And Computational Biology

protein structure prediction and multi-objective optimization techniques applied to protein tertiary structure prediction. DNA evolutionary issues;

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Intelligent Computing Theories and Application

Interaction Prediction; Protein Structure and Function Prediction; Next-Gen Sequencing and Metagenomics; Structure Prediction and Folding; Biomarker;

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Bioinformatics

critical keys needed to unlock the information encoded in the flood of data generated by genome, protein structure, transcriptome and proteome;

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Protein Physics

properties of polypeptide chains; their secondary structures; tertiary structures of proteins and their classification; conformational transitions;

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Deep Learning in Bioinformatics

, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule;

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Protein Folding in Silico

of research since the publication of the first software tool for protein structure prediction. Protein folding in silico approaches this issue by;

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Computational Strategies Towards Improved Protein Function Prophecy of Xylanases from Thermomyces Lanuginosus

towards improved protein function prediction screening in-silico structure based mutagenesis of xylanases from Thermomyces lanuginosus;

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Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria

networks, effects of reference genome selection on prediction accuracy, and genome sequence templates to predict protein function.;

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