Titlebook: Computational Methods for Protein Structure Prediction and Modeling; Volume 1: Basic Char Ying Xu,Dong Xu,Jie Liang Book 2007 Springer-Verl

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French Politics, Society and Cultureare of critical importance: their outcome defines the set of basic units upon which structural classifications are built and evolutionary analysis is performed. This is especially true nowadays in the era of structural genomics. Today there are many methods that decompose the structure into domains:

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Overview of Estimation Methods,ainst which results of other methods, such as viscosity, chemical susceptibility, immune activity, crystallizability, and susceptibility to proteolysis, were compared (Mirsky and Pauling, 1936;Wu, 1931). Toward the middle of the last century, protein aggregation studies were largely left behind, as

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Knowledge-Based Energy Functions for Computational Studies of Proteins,, protein-protein interaction, and protein sequence design.We discuss in some detail the Miyazawa-Jernigan contact statistical potential, distance-dependent statistical potentials, as well as geometric statistical potentials. We also describe a geometric model for developing both linear and nonlinea

CHASE

Computational Methods for Domain Partitioning of Protein Structures,l is to reduce a complex protein structure to a set of simpler yet structurally meaningful units, each of which can be analyzed independently. Structural semi-independence of domains is their hallmark: domains often have compact structure and can fold or function independently. Domains can undergo s

摘要

Protein Structure Comparison and Classification,d its functional role and its evolutionary origin. Sequence comparison methods are incredibly valuable for this task. However, for sequences falling in the twilight zone (usually between 20 and 35% sequence similarity), we need to resort to structural alignment and comparison for a meaningful analys