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OverviewFull Product DetailsAuthor: Mai Suan Li , Andrzej Kloczkowski , Marek Cieplak , Maksim KouzaPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 1st ed. 2022 Volume: 2340 Weight: 1.114kg ISBN: 9781071615454ISBN 10: 1071615459 Pages: 478 Publication Date: 16 February 2022 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsBioinformatics Methods in Predicting Amyloid Propensity of Peptides and Proteins.- Protocols for Rational Design of Protein Solubility and Aggregation Properties using Aggrescan3D Standalone.- Using Surface Hydrophobicity Together with Empirical Potentials to Identify Protein-Protein Binding Sites. Application to the Interactions of E-cadherins.- Computational Models for Study of Protein Aggregation.- Probing Protein Aggregation Using the Coarse-Grained UNRES Force Field.- Contact-based Analysis of Aggregation of Intrinsically Disordered Proteins.- Molecular Insights into the Effect of Metals on Amyloid Aggregation.- From Quantum Mechanics, Classical Mechanics and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases.- Computer Simulations Aimed at Exploring Protein Aggregation and Dissociation.- All-atom Molecular Dynamics Simulation Methods for Aggregation of Protein and Peptides: Replica-exchange/permutationand Nonequilibrium Simulations.- Key Factors Controlling Fibril Formation of Proteins- Determination of the Most Stable Packing Of Peptides From Ribosomal S1 Protein, Protein Bgl2p and Aβ peptide in β-layers during Molecular Dynamics Simulations.- Molecular Dynamics Simulations Of Protein Aggregation: Protocols For Simulation Setup and Analysis with Markov State Models And Transition Networks.- Challenges in Experimental Methods.- Aggregates Sealed By Ions.- Modifying Amyloid Motif Aggregation through Local Structure.- Assessing the Stability Of Biological Fibrils By Molecular-Scale Simulations.- Predictive Modeling of Neurotoxic α-Synuclein Polymorphs.- Characterization of Amyloidogenic Peptide Aggregability in Helical Subspace.- Exploration of Protein Aggregations in Parkinson’s Disease through Computational Approaches and Big Data Analytics.- Computational Studies of Protein Aggregation In Preeclampsia.- Final remarks.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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