Protein Structure Prediction: Advances in Computational Methods and Their Application to Molecular Modeling

· Molecular Biophysics 8권 · One Billion Knowledgeable
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"Protein Structure Prediction" is an indispensable resource for anyone engaged in the rapidly evolving field of molecular biophysics. Whether you are a professional researcher, an undergraduate or graduate student, or simply an enthusiast, this book provides cuttingedge insights into the complex world of protein structure prediction. The ability to predict protein structures plays a crucial role in numerous applications, from drug discovery to understanding fundamental biological processes. This book offers a comprehensive, indepth exploration of the various aspects of protein structure prediction, bridging the gap between theory and practical applications.

Protein structure prediction-This chapter introduces the fundamental concepts and significance of protein structure prediction, setting the stage for the discussions to follow


Alpha helix-Focuses on the alpha helix, one of the most common structural motifs in proteins, and its role in the overall stability and function of proteins


Beta sheet-Explores the beta sheet structure, its formation, and how it contributes to the protein's tertiary structure and biological function


Protein secondary structure-Delves into the various secondary structural elements in proteins, explaining their influence on protein folding and stability


Protein tertiary structure-Discusses the threedimensional arrangement of secondary structure elements and the forces that stabilize this final structure


Membrane topology-This chapter covers the prediction of membrane protein structures and their complex interactions with lipid bilayers


Structural alignment-Introduces techniques used for aligning protein structures, essential for comparing and contrasting homologous proteins


Structural bioinformatics-A look at the computational tools and methods used in protein structure prediction and analysis


Protein structure-Provides an overview of the different levels of protein structure and how they relate to function


Protein design-Discusses the principles and methods behind designing proteins with specific functions, using computational techniques


Lattice protein-Explores the concept of lattice models in protein folding, helping understand how protein structures are formed


Threading (protein sequence)-Introduces threading techniques used to predict protein structures based on sequence similarities to known structures


Protein contact map-Focuses on the use of contact maps to predict protein folding and interactions


Turn (biochemistry)-Discusses the role of turns in protein structures, their formation, and significance in maintaining protein stability


Homology modeling-This chapter explores the process of creating threedimensional models of proteins based on sequence homology


Loop modeling-Focuses on the techniques for modeling loop regions in proteins, which are crucial for function and stability


De novo protein structure prediction-Provides an indepth look at approaches used to predict protein structures without relying on homologous templates


Protein domain-Discusses the modular nature of proteins and the importance of protein domains in their structure and function


Phyre-A case study of the Phyre server, a widely used tool for protein structure prediction, explaining its applications and methods


Protein superfamily-Introduces the concept of protein superfamilies and their significance in evolutionary biology and functional prediction


ITASSER-A detailed explanation of the ITASSER tool, a powerful method for protein structure prediction that integrates multiple techniques

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