Genetic Algorithm for Ab Initio Protein Structure Prediction - Hoque, Md Tamjidul
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Protein is a sequence of amino acids bounded into a linear chain that adopts a specific folded three-dimensional (3D) shape. This specific folded shape enables protein to perform specific tasks. Amongst various available computational methods, the protein structure prediction by the ab initio approach is promising and can help to unravel the relationship between sequence and its associated structure. This book is focused on the ab initio protein structure prediction (PSP), by developing novel Genetic Algorithm (GA) for an efficient and effective conformation search of low resolution models.…mehr

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Produktbeschreibung
Protein is a sequence of amino acids bounded into a linear chain that adopts a specific folded three-dimensional (3D) shape. This specific folded shape enables protein to perform specific tasks. Amongst various available computational methods, the protein structure prediction by the ab initio approach is promising and can help to unravel the relationship between sequence and its associated structure. This book is focused on the ab initio protein structure prediction (PSP), by developing novel Genetic Algorithm (GA) for an efficient and effective conformation search of low resolution models. The book also proposes a novel low resolution model, called hHPNX model providing more accurate predictions compared to the existing low resolution HP models. Extensions of these developed algorithms are very promising for high resolution models.
Autorenporträt
Md Tamjidul Hoque is currently an Assistant Professor of Computer Science, University of New Orleans. He earned his PhD in IT from Monash University, Australia, in 2008. His research focuses on machine learning and artificial intelligence towards bioinformatics, especially protein structure prediction and related.