Computational methods for protein folding

Computational methods for protein folding contains Statistical Analysis of Protein Folding Kinetics, Insights into Specific Problems in Protein Folding Using Simple Concepts, Protein Recognition by Sequence-to-Structure Fitness: Bridging Efficiency and Capacity of Threading Models, A Unified Approach to the Prediction of Protein Structure and Function, Knowledge-Based Prediction of Protein Tertiary Structure, Ab Initio Protein Structure Prediction Using a Size-Dependent Tertiary Folding Potential, Deterministic Global Optimization and Ab Initio Approaches for the Structure Prediction of Polypeptides, Dynamics of Protein Folding, and Protein-Protein Interactions, Detecting Native Protein Folds Among Large Decoy Sites with the OPLS All-Atom Potential and the Surface Generalized Born Solvent Model.

Книга Computational methods for protein folding – это методы для анализа белка, а именно кинетики сворачивания белка, понимание специфических проблем в сворачивании белка, подход к прогнозированию структуры белка, третичная структура белка и структуры полипептидов, динамика сворачивания белков и белок-белковых взаимодействий.


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