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A Metaheuristic Approach to Protein Structure Prediction

improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature;

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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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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

of Protein Structures, Functions and Interactions presents a comprehensive overview of methods for prediction of protein structure or function, with;

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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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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 Structure

cover numerous high-throughput technologies as well as computational methods to study protein structures and residues. A valuable reference;

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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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Computational Biology

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

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An Introduction to Protein Informatics

from basic knowledge of algorithm design, calculus, linear algebra, and probability theory. An Introduction to Protein Informatics, a;

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Methods in Proteome and Protein Analysis

Following the succesful publication of Proteome and Protein Analysis in 2000, which was based on a former MPSA (Methods in Protein;

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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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Computational Protein-Protein Interactions

when approaching protein-protein interactions, this book incorporates different views of the same biochemical problem from sequence to;

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Computational Protein-Protein Interactions

approaching protein-protein interactions, this book incorporates different views of the same biochemical problem from sequence to structure to;

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Protein Bioinformatics

structure analysis, prediction of protein structures, protein folding, protein stability, and protein interactions Presents a cohesive and;

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A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R)

/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization;

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Introduction to Protein Structure

specific examples of proteins to show how they fulfill a wide variety of biological functions. The book ends with chapters on the experimental;

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Introduction to Protein Structure

examples of proteins to show how they fulfill a wide variety of biological functions. The book ends with chapters on the experimental approach to;

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Practical Approach Metaheuristics LabVIE

/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization;

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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 Folding in Silico

misfolded proteins. The book ends with an overview of a number of other ab initio methods for protein structure predictions and some concluding;

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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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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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Multiscale Approaches to Protein Modeling

The book gives a comprehensive review of the most advanced multiscale methods for protein structure prediction, computational studies;

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Multiscale Approaches to Protein Modeling

The book gives a comprehensive review of the most advanced multiscale methods for protein structure prediction, computational studies;

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Reviews in Computational Chemistry

New Materials via a priori Crystal Structure Prediction * Introduction to Maximally Localized Wannier Functions * Methods for a Rapid and;

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